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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary We are seeking a Boomi Technical Consultant to design, develop, implement, and support integration solutions using the Boomi Integration Platform (iPaaS) .<br> The ideal candidate will have hands-on experience building scalable integrations between cloud and on-premises applications, APIs, databases, and enterprise systems.<br> The consultant will work closely with business stakeholders, solution architects, and development teams to deliver high-quality integration solutions.<br> Key Responsibilities Design, develop, and implement integration solutions using Boomi AtomSphere .<br> Build and maintain integrations between ERP, CRM, HR, finance, and third-party applications.<br> Develop APIs and web services using REST and SOAP.<br> Configure connectors, processes, mappings, profiles, and business rules.<br> Perform data transformation, validation, and error handling.<br> Deploy, monitor, and troubleshoot Boomi integrations.<br> Configure and manage Boomi Atoms, Molecules, and Atom Clouds.<br> Collaborate with functional consultants and business users to gather requirements.<br> Support API management and integration best practices.<br> Optimize integration performance and ensure system reliability.<br> Prepare technical documentation and deployment guides.<br> Provide production support and resolve integration issues.<br> Participate in testing, UAT, and go-live activities.<br> Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 3+ years of hands-on experience with Boomi AtomSphere .<br> Experience developing enterprise integration solutions.<br> Strong knowledge of REST, SOAP, XML, JSON, XSD, and APIs.<br> Experience with SQL and relational databases.<br> Experience integrating cloud and on-premises applications.<br> Knowledge of data mapping and transformation techniques.<br> Strong troubleshooting and debugging skills.<br> Excellent communication and problem-solving skills.<br> Preferred Qualifications Boomi Professional Developer or Professional Architect Certification.<br> Experience integrating SAP, Oracle, Salesforce, Microsoft Dynamics, Workday, ServiceNow, or other enterprise applications.<br> Knowledge of API Management and EDI integrations.<br> Experience with CI/CD pipelines and Git.<br> Familiarity with AWS, Azure, or GCP.<br> Knowledge of scripting languages such as JavaScript or Groovy.<br> Experience working in Agile environments.<br> Soft Skills Soft Skills Strong analytical and problem-solving abilities.<br> Excellent communication and stakeholder management.<br> Ability to manage multiple projects simultaneously.<br> Customer-focused mindset.<br> Strong documentation and organizational skills.<br> Ability to work independently and as part of a team.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>ALH Holding</strong> is characterized by a <strong>collaboration-driven culture</strong>, where people, trust and teamwork are central to the organization. Employees operate in a supportive environment shaped by close management that encourages engagement and accountability. This foundation is strengthened by a <strong>strong organizational focus</strong>, ensuring structure, efficiency and process reliability. The culture is further balanced by a performance mindset and openness to innovation, supporting both results and adaptability. </p><br><br> <br> Job : <ul><li>Feasibility studies for projects;</li><li>Participation in the development of project budgets, and updating them as studies and work progress;</li><li>Management and coordination of architectural studies for projects;</li><li>Follow-up of permit applications with the various stakeholders;</li><li>Studies of the residential and hotel real estate market in terms of design, services, finishes, and budgets;</li><li>Challenging concepts and plans and proposing areas for improvement;</li><li>Establishment of specifications for technical and architectural services in compliance with budgets;</li><li>Development of a material database by quality level with prices, supplier lists, technical data sheets, etc.;</li><li>Support for the technical and purchasing departments in sourcing different materials;</li><li>Implementation of product watch and identification of market innovations and novelties;</li></ul> <br> Required profile : <ul><li>Civil engineering or architecture degree;</li><li>3 to 5 years of experience with a real estate developer or an architecture firm;</li><li>Good knowledge of material prices and construction costs;</li><li>Knowledge of construction rules and urban planning code in Morocco</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Why Infomineo?<br> Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs.<br> You will take ownership of delivering technical solutions that directly support their success.<br> Lead in AI &amp; Technology: We foster continuous learning and technical excellence.<br> You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude.<br> You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.<br> About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer.<br> In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients.<br> You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders.<br> While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br> Key Responsibilities: Data Science, AI &amp; Applied R&amp;D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.<br> Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.<br> Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.<br> Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.<br> Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.<br> Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.<br> Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.<br> Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.<br> Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.<br> Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.<br> Build or support frontend interfaces using modern frameworks such as React, Next.<br>js, or Vue to make AI and data products accessible to business users and clients.<br> Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.<br> Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.<br> Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.<br> Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.<br> Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.<br> Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.<br> Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.<br> Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.<br> Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.<br> Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment.<br> Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.<br> Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.<br> Define standards and best practices for AI solution design, evaluation, documentation, and delivery.<br> Communicate complex technical concepts clearly to both technical and non-technical audiences.<br> Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.<br> Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.<br> Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.<br>js, or Vue.<br> Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.<br> Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.<br> Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.<br> Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.<br> Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.<br> Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.<br> Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.<br> Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.<br> Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.<br> Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.<br> Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.<br> Experience with Infrastructure as Code tools such as Terraform or Pulumi.<br> Experience designing data models, analytical pipelines, or BI/dashboard solutions.<br> Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.<br> What we offer: A competitive compensation and benefits package.<br> The opportunity to lead AI, data science, and technology initiatives with real global impact.<br> A dynamic and supportive work environment that values leadership, innovation, and your contributions.<br> Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.<br> Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment.<br> Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>ALH Holding</strong> is characterized by a <strong>collaboration-driven culture</strong>, where people, trust and teamwork are central to the organization. Employees operate in a supportive environment shaped by close management that encourages engagement and accountability. This foundation is strengthened by a <strong>strong organizational focus</strong>, ensuring structure, efficiency and process reliability. The culture is further balanced by a performance mindset and openness to innovation, supporting both results and adaptability. </p><br><br> <br> Job : <p>o Feasibility studies for projects;<br>o Participation in the development of project budgets, and updating them as studies and work progress;<br>O Management and coordination of architectural studies for projects;<br>O Follow-up of authorization files with the various stakeholders;<br>O Studies of the residential and hotel real estate market in terms of design, services, finishes, and budgets;<br>O Challenging concepts and plans and proposing areas for improvement;<br>O Establishment of specifications relating to technical and architectural services in compliance with budgets;<br>O Development of a material database by standard with prices, list of suppliers, technical sheets, etc...<br>O Support for the technical and purchasing department in sourcing different materials;<br>O Implementation of product monitoring and identification of market novelties and innovations;<br>&nbsp;</p><br><br> <br> <br> Required profile : <p>Civil engineering or Architecture graduate;</p><br><br><p>3 to 5 years of experience with a real estate developer or an architecture firm;</p><br><br><p>Good knowledge of material prices and construction costs;</p><br><br><p>Knowledge of Moroccan construction rules and urban planning code<br>&nbsp;</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions. Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability. Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases. Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production. Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions. Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement. Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions. Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines. Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI. Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients. Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns. Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources. Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions. Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture. Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments. Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases. Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems. Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments. Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure. Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment. Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness. Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs. Define standards and best practices for AI solution design, evaluation, documentation, and delivery. Communicate complex technical concepts clearly to both technical and non-technical audiences. Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field. Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows. Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques. Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Experience designing data models, analytical pipelines, or BI/dashboard solutions. Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials. What we offer: A competitive compensation and benefits package. The opportunity to lead AI, data science, and technology initiatives with real global impact. A dynamic and supportive work environment that values leadership, innovation, and your contributions. Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology. Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential. Infomineo: Where brilliant minds meet to shape the future of business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.</p><p>Preferred Skills:</p><ul><li>Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.</li><li>Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.</li><li>Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.</li><li>Experience with Infrastructure as Code tools such as Terraform or Pulumi.</li><li>Experience designing data models, analytical pipelines, or BI/dashboard solutions.</li><li>Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Missions We are looking for a Web Integrator to join our team. They will be responsible for transforming UX/UI designs into functional and optimized web pages, while adhering to quality standards and front-end development best practices. Main missions: Integrate UX/UI mockups in HTML5, CSS3, and JavaScript (if necessary). Ensure cross-browser and responsive compatibility of interfaces. Collaborate closely with UX/UI designers and back-end developers. Optimize web page performance (loading, accessibility, SEO). Respect W3C standards and development best practices. Perform functional and visual tests to validate integrations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Master's degree in computer science/application development with at least 3 years of experience</font></font></p><p><font dir="auto" ><font dir="auto" >Know:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Conna tre le rf rentiels des m tiers d Intelcia</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of project management methods (Agile...)</font></font></li><li><font dir="auto" ><font dir="auto" >To know the engineering rules, methods and direct implications in one's field of activity</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Expertise:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Desired certifications: Scrum, Java, Spring, Databases, Security</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering the rules, principles and practices of computer development</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering development and integration tools, frameworks</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering data exchange formats: XML, CSV, JSON</font></font></li><li><font dir="auto" ><font dir="auto" >Mastering database management systems: Oracle, MySQL</font></font></li><li>Ma triser les technologies : JAVA, JEE, Web services rest/soap, Java script, HtmL, CSS, Spring project, SQL, Mongo DB, Maven, Git, JS, Hibertie, GWT , Angular</li><li><font dir="auto" ><font dir="auto" >Professional English</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Knowing how to be:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Autonomy</font></font></li><li><font dir="auto" ><font dir="auto" >Capacity analyses</font></font></li><li>Curiosit technique</li><li><font dir="auto" ><font dir="auto" >Team spirit</font></font></li><li><font dir="auto" ><font dir="auto" >Sense of confidentiality</font></font></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >IT Infrastructure Operations - DBA Engineer</font></font></p><p><br></p><p>As part of DTIT (Digital Transformation &amp; Information Technology) organization, the DBA engineer :</p><p>Manages his/her assigned infrastructure components, ensuring continuous support &amp; service delivery in line with the agreed Operational Level Objectives</p><p>Is responsible for the operations &amp; monitoring of secure and highly available infrastructure components as well as maintaining the ongoing reliability, performance and support of the infrastructure</p><p>Key accountabilities &amp; Responsibilities:</p><p>1. PLANNING</p><p>Plans for the right level of availability &amp; performance of database services</p><p>Collects requirements and suggest adequate solutions</p><p>Participates to different phases of a (local or central) project and contributes to project execution</p><p>2. EXECUTION</p><p>Ensure the availability of all database systems supporting business solutions:</p><p>Deploy database monitoring solutions and provide documentation and training to Level 1 team &amp; users</p><p>Responsible for technical projects deployment</p><p>Responsible for risk assessment of components in network scope.</p><p>3. INCIDENT / PROBLEM/ CHANGE MNGMT / MONITORING</p><p>Qualifies and fixes Level-2 &amp; 3 incidents (including via duty) and problems based on pro-active monitoring or issues reported by users</p><p>Technical processing of database requests</p><p>Responsible for systems security &amp; license use to meet compliance</p><p>Comply with OLA/SLA requirements</p><p>Finding root causes of problems &amp; Interrupts</p><p>4. EXPERTISE</p><p>Acts as the technical liaison between operations, service and project management teams and architects, providing critical operational insight to upcoming implementations and strategies, including validation of ongoing solutions supportability</p><p>Participates in the design, implementation, and execution projects for run phase. This includes backup and disaster recovery plan for database solutions</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>YOUR SKILLS &amp; EXPERIENCES * Education: Engineer/ Master in Computer Science or related area * * Strong Expertise in Database Administration : Oracle,SQLServer,MariaDB, Oracle Golden * Experience on Backup/Restore, replication and Disaster recovery : RMAN, Oracle Golden Gate, SQLServer replication, mariadb replication * Advanced knowledge of Database architecture design, implementation, and support * Experience on database monitoring, performance and troubleshooting/analysis tools : Oracle Entreprise manager, AWR/ASH/ADDM analysis, SQLServer profiling, * * Team worker with strong communication skills * Excellent time management &amp; prioritization skills, agile. * Strong analytical and problem-solving skills * French, English spoken and written.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >To strengthen our teams, we are looking for a Power BI specialist to join our team.</font></font></p> <p><font dir="auto" ><font dir="auto" >As a Power BI Engineer, you will be responsible for:</font></font></p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >BI solution design and development</font></font></strong><font dir="auto" ><font dir="auto" > : Analyze user needs and create effective Power BI solutions to meet their expectations.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data modeling</font></font></strong><font dir="auto" ><font dir="auto" > : Design optimized data models, ensuring the quality and relevance of the information.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Creation of reports and dashboards</font></font></strong><font dir="auto" ><font dir="auto" > : Design dynamic and interactive dashboards to enable business teams to monitor performance and make informed decisions.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data flow management</font></font></strong><font dir="auto" ><font dir="auto" > : Integrate and automate data flows from various sources (SQL databases, APIs, Excel files, etc.).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Quality and performance assurance</font></font></strong><font dir="auto" ><font dir="auto" > : Guarantee the performance of Power BI reports, optimize response times and maintain a high level of quality.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Support and training</font></font></strong><font dir="auto" ><font dir="auto" > : Assisting users in getting started with Power BI, answering their questions and resolving any problems that may arise.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Education</font></font></strong><font dir="auto" ><font dir="auto" > : Master's degree (or equivalent) in computer science. Minimum of 3 years of experience using Power BI in a professional setting.</font></font></li> </ul> <ul> <li> <strong>Comp tences techniques</strong> :<ul> <li><font dir="auto" ><font dir="auto" >Proficiency in Power BI (report creation, data modeling, performance optimization).</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid experience in SQL and relational database management (SQL Server, PostgreSQL, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Good knowledge of ETL tools for data integration.</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastery of DAX for calculations and creation of complex measurements.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of best practices for data quality management and security in Power BI.</font></font></li> </ul> </li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Personal qualities</font></font></strong><font dir="auto" ><font dir="auto" > :</font></font><ul> <li><font dir="auto" ><font dir="auto" >Analytical mind, ability to solve complex problems.</font></font></li> <li><font dir="auto" ><font dir="auto" >Sense of listening and ability to understand third-party needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Autonomy, rigor and ability to work in a team.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent communication skills to explain technical concepts to non-experts.</font></font></li></ul></li></ul></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>What makes us Qlik?</strong><br><br><span>A </span><span>Gartner® Magic Quadrant™ Leader for 16 years in a row</span><span>, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster.&nbsp;</span><br><br><span>We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities.</span><br><br><strong>The Senior Product Manager Role</strong><br><br><span>This role owns the strategy and evolution of Qlik Cloud’s programmatic Analytics &amp; AI experience, helping customers, partners, and developers integrate Qlik capabilities into enterprise platforms, AI systems, and automated workflows. We are looking for a product leader who can drive the vision for the Analytics &amp; AI capabilities we expose via APIs, MCP skills, and partner integrations. They will partner closely with our API Platform team, who own API governance, CLIs, SDKs, and the developer portal, to expand the value customers gain from Qlik Analytics &amp; AI in modern data and AI ecosystems.</span><br><br><strong>What makes this role interesting?</strong><br><ul><li><span>Shape the future of how developers, partners, and AI agents interact with Qlik Cloud Analytics &amp; AI features.</span></li><li><span>Own a highly visible product area spanning API-driven capabilities, integrations, and ecosystem growth.</span></li><li><span>Work at the intersection of analytics, AI, automation, and enterprise software.</span></li><li><span>Influence product strategy across multiple teams while partnering closely with engineering and external stakeholders.</span></li><li><span>Solve complex challenges around API capability strategy, developer adoption, partner enablement, and AI-driven workflows.</span></li></ul><br><strong>Here’s how you’ll be making an impact:</strong><br><ul><li><span>Define and execute the product strategy for the Analytics &amp; AI capabilities exposed via APIs and event-driven integrations across the portfolio, partnering with our API Platform team on SDKs, CLI tooling, and developer experience.</span></li><li><span>Drive the development and adoption of MCP skills and agentic integration capabilities that support AI-powered workflows.</span></li><li><span>Own the ecosystem experience, including partner onboarding, app listings, extension governance, and integration monetization opportunities.</span></li><li><span>Partner with OEM and ISV organizations to improve the commercial and technical experience of building on Qlik Cloud.</span></li><li><span>Partner with our API Platform team on developer content initiatives, including API documentation, integration guides, and SDK resources to ensure new capabilities are well represented for developers.</span></li><li><span>Collaborate with engineering teams to deliver scalable, high-quality platform capabilities that increase adoption and customer value.</span></li><li><span>Ensure Qlik remains a composable platform that fits seamlessly into enterprise toolchains, AI systems, and automated workflows.</span></li></ul><br><strong>We’re looking for a teammate with:</strong><br><ul><li><span>3–5 years of product management experience, including experience in a technical or developer-facing environment.</span></li><li><span>Experience with API products, developer platforms, integration ecosystems, or related technologies.</span></li><li><span>Strong understanding of REST APIs, OpenAPI/AsyncAPI specifications, CI/CD practices, GitHub workflows, and integration tooling.</span></li><li><span>Knowledge of event-driven architectures, webhooks, and API versioning.</span></li><li><span>Working understanding of AI agents, LLM tool usage, MCP concepts, and modern AI integration patterns.</span></li><li><span>A track record of partnering effectively with engineering teams in an agile environment.</span></li><li><span>Strong focus on developer experience, documentation quality, and platform adoption.</span></li><li><span>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</span></li></ul><br><strong>The location for this role is:</strong><br><br><span>USA - East time zone</span><br><span>Remote: #LI-Remote</span><br><br><strong>Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities!</strong><br><br><strong>More about Qlik and who we are:</strong><br><br><span>Find out more about ‘Life at Qlik’ on social: </span>Instagram, LinkedIn, YouTube<span>, and </span>X/Twitter<span>, and to see all other opportunities to join us and our values, check out our </span>Careers Page.<br>&nbsp;<br><strong>What else do we offer?</strong><br><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong><span>Named in Newsweek’s ‘Americas Greatest Workplaces 2025’: </span>https://rankings.newsweek.com/americas-greatest-workplaces-2025.<br>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span>Genuine career progression pathways and mentoring programs.</span><br><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong><span>Culture of innovation, technology, collaboration, and openness.</span><br><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong><span>Flexible, diverse, and international work environment.</span><br><br><span>Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our </span>Corporate Responsibility Employee Programs.<br>&nbsp;<br><strong>Salary and Benefits:</strong><span> The anticipated base salary range for this role is $165,000 USD MIN –$175,000 MAX per year.&nbsp;Final compensation offered by Qlik will be based on factors such as the candidate’s location, job-related skills, education, experience, and other business and organizational needs.</span><br><br><span>This position is eligible for comprehensive benefits, including - but not limited to - medical, dental, and vision coverage life and AD&amp;D, short and long-term disability coverage, paid time off, paid parental / maternity leave, participation in a 401(k) program that includes company match, and many other additional voluntary benefits.</span><br><br><strong>Application Window:</strong><span> The application window is 60 days, but applicants are encouraged to apply as soon as possible. The posting will be removed before the application window closes if the position is filled.</span><br><br><strong>For positions in Massachusetts:</strong><span> It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.</span><br><br><span>Qlik is an Equal Opportunity/Affirmative Action Employer. We are committed to fostering a workplace that is diverse, equitable, and inclusive.</span><br><br><span>Qualified applicants will receive consideration for employment without regard to actual or perceived: race, color, religion, sex, sexual orientation, gender identity, pregnancy and related medical conditions, genetic information, national origin, age, marital status, protected veteran status, disability status or any other characteristic protected by applicable law. For United States applicants and employees, go to the US Department of Labor’s website to review the Equal Employment Opportunity Posters, including the “Know Your Rights” and “Pay Transparency Nondiscrimination” posters.</span><br><br><span>If you need assistance applying for a role due to a disability, please submit your request via email to </span>accessibilityta@qlik.com<span>. Any information you provide will be treated according to Qlik’s</span> Recruitment Privacy Notice<span>. Qlik may only respond to emails related to accommodation requests.</span><br><br><span>Qlik uses artificial intelligence (e.g. Talent Intelligence developed by Eightfold) to screen and summarize resumes, assess and evaluate candidates, and score candidates for all positions at Qlik. Any hiring decision will involve a human review, and you will not be subject to decisions based solely on automated means. For questions about this tool, contact </span>accessibilityta@qlik.com<span>.</span><br><br><span>Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.&nbsp;</span><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job : <p>As a Systems and Network Administrator, you will play a central and structuring role in the daily management and evolution of our ERP information system and our IT infrastructure.</p><br><br><p><strong>Your main mission</strong></p><br><br><ul><li>Manage, secure, and optimize the entire IT system (networks, databases, servers), while ensuring optimal connectivity, smooth data transmission, and quality support for our users.</li><li>Reporting directly to the IT Project Manager, you will be involved in both technical fundamentals, compliance with company procedures, and the evolution of the IT architecture, in close collaboration with management and managers.</li></ul><p><strong>Your main responsibilities</strong></p><br><br><ul><li><strong>ERP Project Support and IT System Evolution</strong><ul><li>Participate in the deployment of the future ERP in collaboration with business teams and external providers.</li><li>Prepare and maintain the technical environment necessary for the ERP to function.</li><li>Ensure technical administration of the ERP solution: servers, databases, backups, access rights, and interfaces.</li><li>Support users in adopting new tools.</li><li>Participate in the continuous improvement of IT processes.</li></ul></li><li>Database Administration and Backup Management<ul><li>Ensure technical administration of the databases used by the company.</li><li>Participate in the installation, configuration, and optimization of database environments.</li><li>Guarantee the smooth running of backups and check their effectiveness.</li><li>Define and maintain a reliable organization of backup media.</li><li>Participate in the implementation of solutions ensuring data resilience and restoration.</li><li>Ensure compliance with access rules and information confidentiality.</li></ul></li><li><strong>Network Management, Configuration, and Security</strong><ul><li>Design, administer, and evolve the network architecture adapted to the company's needs.</li><li>Ensure the availability and performance of network infrastructures (LAN, Wi-Fi, Internet access, communication equipment).</li><li>Administer network equipment and ensure its maintenance.</li><li>Participate in defining and applying the IT security policy.</li><li>Implement cybersecurity best practices: access protection, rights management, antivirus protection, data security.</li><li>Ensure control over access to the information system and track it.</li><li>Identify, analyze, and resolve technical incidents related to infrastructures.</li></ul></li><li><strong>Systems and Server Administration</strong><ul><li>Install, configure, and administer the company's servers and IT equipment.</li><li>Ensure the monitoring and operational maintenance of infrastructures.</li><li>Administer Microsoft Windows environments and associated services.</li><li>Manage user accounts, access rights, and security policies.</li><li>Implement and follow IT operating procedures.</li><li>Document architectures, configurations, and technical interventions.</li></ul></li><li><strong>User Support, Monitoring, and Continuous Improvement</strong><ul><li>Provide local technical support to employees.</li><li>Diagnose and resolve hardware, software, and network incidents.</li><li>Advise users and propose solutions tailored to their needs.</li><li>Ensure technological watch on systems, networks, and cybersecurity solutions.</li><li>Identify improvement opportunities and propose evolutions to optimize IT system performance.</li></ul></li><li><strong>Operational Excellence and Brand Image</strong><ul><li>Strictly adhere to internal procedures and regulatory requirements applicable to the quality management system.</li><li>Ensure the proper organization, documentation, and archiving of the information system's technical elements.</li><li>Provide a reliable, responsive IT service focused on user satisfaction.</li><li>Contribute through professionalism to projecting a positive image of the IT function within the company.</li></ul></li></ul> <br> <br> Required profile : <p>Hold a degree of Bachelor's degree +3 or higher in Computer Science, Systems and Networks, or equivalent.</p><br><br><p>Proven experience in the administration of IT servers and networks.</p><br><br><p>Experience in ERP administration is desired.</p><br><br><p>Good command of Microsoft Windows environments.</p><br><br><p>Solid knowledge of network infrastructures and protocols.</p><br><br><p>Solid skills in database administration, operational cybersecurity, and identity and access management.</p><br><br><p>Ability to monitor technology trends and propose innovative solutions adapted to the company's needs.</p><br><br><p>Knowledge of technical administration of an ERP is an asset.</p><br><br><p>Rigor, organization, and a keen sense of discretion and confidentiality.</p><br><br><p>Structuring, pragmatic, solutions-oriented mindset with strong operational efficiency.</p><br><br><p>Good interpersonal skills, listening skills, and ability to interact and work in concert with management, managers, and teams.</p><br><br><p>Ability to work autonomously, take initiative, and effectively manage assigned tasks.</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong><u>Digital Solutions Engineer</u></strong></span></p><br><p><span><strong>Join a team recognized for leadership, innovation and diversity</strong></span></p><br><p><span>Honeywell is seeking a <strong>Senior Advanced Software Engineer</strong>&nbsp;to support the development, deployment, and sustainment of digital solutions that drive operational excellence, productivity, and business transformation across Integrated Supply Chain (ISC) and enterprise functions.</span></p><br><p><span>In this role, you will leverage your expertise in software development, enterprise applications, databases, cloud technologies, and business systems integration to develop scalable solutions that improve business performance, enable data-driven decision making, and accelerate digitization initiatives. You will partner closely with business stakeholders, ISC leaders, IT teams, and functional experts to identify opportunities, translate requirements into technical solutions, and drive continuous improvement through automation and digital technologies.</span></p><br><br><span>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.</span><br>Responsibilities:<br><p><span><strong>Key Responsibilities</strong></span></p><br><ul><li><span>Design, develop, test, and deploy web-based applications, APIs, and digital solutions supporting business and operational objectives.</span></li><li><span>Partner with ISC, Manufacturing, Supply Chain, Finance, and functional teams to define requirements and implement technology solutions.</span></li><li><span>Develop and maintain databases, analytical tools, dashboards, and reporting solutions that improve business visibility and decision making.</span></li><li><span>Support ERP administration, integrations, data migration, configuration, and user enablement activities.</span></li><li><span>Lead application and data integrations between enterprise systems, cloud platforms, and business applications.</span></li><li><span>Drive process automation and digitization initiatives aligned with Honeywell Accelerator and Continuous Improvement principles.</span></li><li><span>Administer and support cloud environments, collaboration tools, and enterprise information systems.</span></li><li><span>Ensure compliance with Honeywell cybersecurity, data governance, and application lifecycle management standards.</span></li><li><span>Troubleshoot and resolve complex technical issues while maintaining high levels of system reliability and user satisfaction.</span></li><li><span>Influence stakeholders and provide technical leadership on digital transformation projects.</span></li></ul><br>Qualifications:<br><p><span><strong>YOU MUST HAVE</strong></span></p><br><ul><li><span>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical discipline.</span></li><li><span>Significant experience in software development, database administration, and enterprise applications.</span></li><li><span>Experience with web application development and API integration technologies.</span></li><li><span>Strong knowledge of SQL databases, data modeling, and data management practices.</span></li><li><span>Experience supporting ERP and business systems in a manufacturing or supply chain environment.</span></li><li><span>Experience working with cloud-based solutions and modern application architectures.</span></li></ul><p><span><strong>WE VALUE</strong></span></p><br><ul><li><span>Experience with SAP Business ByDesign or other ERP platforms.</span></li><li><span>Experience supporting manufacturing operations, supply chain, logistics, or industrial businesses.</span></li><li><span>Strong understanding of Azure cloud services and Microsoft 365 environments.</span></li><li><span>Experience with Agile development methodologies and DevOps practices.</span></li><li><span>Strong analytical and problem-solving skills.</span></li><li><span>Ability to influence without direct authority and work effectively across global teams.</span></li><li><span>Passion for automation, digitization, and continuous improvement.</span></li><li><span>Excellent communication and stakeholder engagement skills.</span></li></ul><p><span><strong>Technical Competencies</strong></span></p><br><ul><li><span>Software Development: Angular, React, PHP, JavaScript, jQuery</span></li><li><span>Database Technologies: MySQL, PL/SQL, T-SQL</span></li><li><span>Enterprise Applications: SAP Business ByDesign, SYLOB</span></li><li><span>Cloud Platforms: Microsoft Azure, AWS</span></li><li><span>Integration Technologies: REST APIs, Postman</span></li><li><span>DevOps &amp; Deployment: Docker, Git, Jenkins</span></li><li><span>Collaboration Platforms: Microsoft 365, SharePoint, Teams</span></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">Job Description <div> <p><font dir="auto" ><font dir="auto" >The consultant will be responsible for automating and maintaining tests for back-end and front-end applications for the client's IT department, using </font></font><strong><font dir="auto" ><font dir="auto" >Java Selenium and Karat API</font></font></strong><font dir="auto" ><font dir="auto" > technologies with databases. You will contribute to the design, development, and implementation of new automated systems, as well as the improvement of existing tests. You will work collaboratively with the product, development, and design teams to ensure application quality.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >In terms of tasks, you will be asked:</font></font></strong> </p> <ul> <li> <p><font dir="auto" ><font dir="auto" >Design, develop and maintain automated test scripts with </font><u><strong><font dir="auto" >Karate API and database / Selenium (Java)</font></strong></u></font><u> <strong><font dir="auto" ></font></strong> </u> </p> </li> <li> <p><font dir="auto" ><font dir="auto" >Write clear and readable test scenarios in </font></font><strong><font dir="auto" ><font dir="auto" >Gherkin</font></font></strong><font dir="auto" ><font dir="auto" > , within the framework of a BDD approach.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Mastering REST API testing concepts with tools like Postman, in line with RESTful standards.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Interacting with relational databases (PostgreSQL) or BigQuery to generate or use test datasets (SQL) / test the data.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Set up CI/CD pipelines for automated test execution via GitLab CI.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Mastering test campaign management and quality monitoring in Jira XRAY.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Apply the principles of software quality assurance, with a level of understanding validated by ISTQB certification.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Build and maintain realistic and reproducible test datasets, linked to business cases.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Produce accurate, concise and usable test deliverables and reports for all stakeholders.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >To demonstrate a strong analytical mind and a willingness to continuously improve, particularly in </font></font><strong><font dir="auto" ><font dir="auto" >evaluating test coverage and the relevance of automations.</font></font></strong> </p> </li> <li> <p>Ma trise des concepts d Agilit (Scrum, Sprint Planning, Backlog ).</p></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li> <p><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >3-7 years of experience </font></font><strong><font dir="auto" ><font dir="auto" >in a similar position</font></font></strong> </p> </li> <li> <p><font dir="auto" ><font dir="auto" >Experience in the retail or mass distribution sector would be an asset.</font></font></p></li></ul></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p>Purpose</p><br><p>​Acts as the primary technical developer and owner of internal automated solutions and applications. This role operates independently and cross-functionally to gather requirements, translate business needs into technical implementations using the Microsoft Power Platform, and deliver internal tools that solve business problems and optimize workflows. The Business Systems Analyst serves as the autonomous owner of these applications, responsible for their end-to-end lifecycle, including continuous maintenance, troubleshooting, and providing dedicated support and training to internal end-users.​</p><br><p>Responsibilities</p><br><ul><li>​​Develop, troubleshoot, and maintain new and existing internal business systems and applications built on the Microsoft Power Platform (Power Apps, Power Automate, and Power BI).&nbsp;</li><li>​Integrate Power Platform applications with external systems and data sources, including SQL databases and APIs, to ensure seamless data flow and process automation.&nbsp;</li><li>​Operate independently to gather and translate data from user discussions into technical business requirements. Identify business/system needs and recommend automated workflows or app-based solutions.&nbsp;</li><li>​Serve as the autonomous product owner for developed applications, managing the application lifecycle and providing ongoing support, troubleshooting, and training directly to end-users (platform-level governance is managed by central IT).&nbsp;</li><li>​Partner cross-functionally with Subject Matter Experts (SMEs) in the business to analyze complex work procedures and present concepts to simplify and automate those procedures.&nbsp;</li><li>​Assist with testing strategies and develop preliminary findings to ensure the reliability and accuracy of system deployments.&nbsp;</li><li>​Work effectively with the team/group to accomplish organizational goals. Actively participate in client or team meetings by offering technical solutions and project leadership.​&nbsp;</li></ul><br>Qualifications<br><br><ul><li>Bachelor’s degree preferred or equivalent experience to demonstrate technical equivalency</li><li>3-5 years of specialty pharmacy experience</li><li>Experience developing and generating reports to maximize efficiency</li><li>Experience with continuous improvement preferred</li><li>Project Management experience a plus</li></ul><br>Additional Information<br><br><p>Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li><p>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this roleat the&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on manyfactors including geographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may ultimately pay more or less than the posted range. This range may be modified in the&nbsp;future.&nbsp;​</p><br></li><li><p>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</p><br></li><li><p>This job is eligible to participate in our short-term incentive&nbsp;programs. Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount isearned, vested, and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;thatare allocable to a particular employee remains in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be modified at the Company’s sole andabsolute discretion, consistent with&nbsp;applicable law.&nbsp;​</p><br></li></ul><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Manpower Agences</strong> operates within a highly balanced culture, where <strong>collaboration</strong> plays a key role in the work environment. The company values close leadership, trust and collective engagement, while placing equal importance on <strong>performance</strong> and achieving results. This dynamic is supported by a <strong>structured organizational approach</strong>, promoting rigor, efficiency and quality execution. Openness to innovation further strengthens this balance, supporting adaptability in an evolving market. </p><br><br> <br> Job : <p>As a recruitment intern at ManpowerGroup, your tasks will be to:&nbsp;</p><br><br><ul><li>Collect recruitment needs</li><li>Search for candidates (sourcing) in available CV databases (internal database, job sites, school or professional directories).</li><li>Sort, analyze, and select received applications.</li><li>Contact candidates and confirm their suitability for the defined profile: motivations, skills, salary expectations...</li><li>Participate in organizing and scheduling job interviews (in-person, by phone, by video...).</li><li>Participate in conducting recruitment interviews</li></ul> <br> Required profile : <p>Profile sought:</p><br><br><ul><li>Bachelor's degree or Master's degree in Human Resources Management</li><li>Very good level of French</li><li>You have proven experience in recruitment (internships are considered)</li><li>You are able to work under pressure and maintain a good recruitment pace.</li><li>You are capable of good customer relationship management.</li><li>Immediately available</li></ul> <br><br> </div>