وظائف TensorFlow في المغرب
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<h2 class="h5">Job description</h2>
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Company culture : <p><strong>Orange Business</strong> stands out for its <strong>strongly collaborative culture</strong>, placing people, trust and collective engagement at the heart of its operations. The company promotes close and supportive management, fostering autonomy, accountability and continuous skills development within a caring work environment. This collaborative foundation is reinforced by a <strong>significant innovation component</strong>, encouraging creativity, initiative and agility across teams. Structured processes support operational efficiency, while performance objectives are integrated in a balanced and sustainable way.
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<br> Job : <p>For an automation / EDH intern: SQL, Python (pandas + other data processing libraries / Polars), Spark, Power BI, Git, Hadoop (preferred), Excel is a plus. If you have experience as a data engineer or software engineer, that's a plus.</p><br><br><p><br>For an AI intern: Power BI (Dax mastery), Python, SQL, experience with LLMs (experience on a project to deploy an LLM, with the API is a plus) and Deep Learning (keras, tensorflow), Git, Docker.<br> </p><br><br> <br> Required profile : <p>You have a Master's degree (Bac+5), with the following skills:</p><br><br><p>+ Excellent communication skills in French</p><br><br><p>+ Good level of English desirable</p><br><br><p>+ You are looking for an ANAPEC internship in Data Engineering or Data Analysis.</p><br><br> <br><br> </div>
<h2 class="h5">Job description</h2>
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<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
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<br> Job : <p>We are looking for a motivated Artificial Intelligence engineer, passionate about innovation, and ready to take on complex technical challenges. The ideal candidate has experience in developing and testing AI solutions, with strong programming skills and an awareness of ethical issues.</p><br><br><p><u><strong>Responsibilities</strong>:</u></p><br><br><ul><li>Design, develop, and optimize AI algorithms to meet business needs.</li><li>Collaborate with multidisciplinary teams to integrate AI solutions into existing systems.</li><li>Perform rigorous tests to ensure the performance and reliability of AI models.</li><li>Ensure compliance with best practices regarding ethics and bias reduction in AI solutions.</li></ul> <br> Required profile : <p><u><strong>Profile sought</strong></u></p><br><br><p>- Master's degree (Bac+5) in engineering or computer science</p><br><br><p><strong>Experience</strong>: Minimum 3 years of experience in a similar AI role, with development and testing skills.</p><br><br><p><strong>Technical skills required</strong>:</p><br><br><ul><li>Proficiency in programming languages such as Python, C, or Java.</li><li>Experience in developing and testing machine learning models.</li><li>Knowledge of cloud platforms (AWS, Google Cloud, Azure) for model deployment and scalability.</li><li>Knowledge of AI frameworks like TensorFlow, PyTorch, etc.</li><li>Advantage:<ul><li>Skills in mathematics (linear algebra, statistics) and data interpretation.</li><li>Proficiency in data analysis tools (SQL, pandas) and visualization tools (Tableau).</li></ul></li></ul><p><strong>Personal qualities sought</strong>:</p><br><br><ul><li>Strong team spirit and ability to work independently.</li><li>Intellectual curiosity and capacity for continuous learning in a rapidly evolving field.</li><li>Great problem-solving ability and enjoyment of challenges.</li><li>Awareness of ethical issues in AI and mastery of best practices to limit bias.</li><li>Motivation and willingness to fully invest in ambitious projects.</li><li>Communication skills and ability to explain complex technical concepts simply.</li></ul><br> <br><br> </div>
<h2 class="h5">Job description</h2>
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<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
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<br> Job : <p>We are looking for a junior Artificial Intelligence engineer, passionate about technology and motivated to acquire new skills. You will participate in the development and optimization of AI solutions for various innovative projects. This position is ideal for someone who wishes to grow and train in the field of AI, with a passion for technical challenges and a curious mind.</p><br><br><p><strong>Responsibilities</strong>:</p><br><br><ul><li>Assist in the development and training of AI models under the supervision of experienced engineers.</li><li>Participate in the collection, preparation, and analysis of data needed for projects.</li><li>Contribute to the testing and continuous improvement of models to ensure their performance and reliability.</li><li>Document project steps and provide regular progress reports.</li></ul> <br> Required profile : <p><strong>Education</strong>: Degree in engineering, computer science, mathematics, or a related field.</p><br><br><p><strong>Experience</strong>: Minimum 1 year on Artificial Intelligence projects.</p><br><br><p><strong>Required technical skills</strong>:</p><br><br><ul><li>Good knowledge of programming, especially with languages like Python.</li><li>Basic familiarity with machine learning concepts and the use of AI frameworks (TensorFlow, PyTorch).</li><li>Basic understanding of data manipulation with tools like SQL or pandas.</li></ul><p><strong>Additional desired skills</strong>:</p><br><br><ul><li>Knowledge of mathematics and statistics basics (linear algebra, probability).</li><li>Basic understanding of cloud computing (AWS, Google Cloud, Azure) and data analysis (Tableau, Excel).</li></ul><p><strong>Desired personal qualities</strong>:</p><br><br><ul><li>Learning mindset and openness to training and mentoring.</li><li>Strong motivation to grow in a technical environment and take on challenges.</li><li>Good communication skills and teamwork spirit.</li><li>Awareness of ethical issues in AI, with a willingness to learn best practices for limiting bias.</li></ul><br> <br><br> </div>
<h2 class="h5">Job description</h2>
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<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
</p><br><br>
<br> Job : <p>We are looking for a motivated Artificial Intelligence engineer, passionate about innovation, and ready to take on complex technical challenges. The ideal candidate has experience in developing and testing AI solutions, with strong programming skills and an awareness of ethical issues.</p><br><br><p><u>Responsibilities:</u></p><br><br><p>Design, develop, and optimize AI algorithms to meet business needs.<br>Collaborate with multidisciplinary teams to integrate AI solutions into existing systems.<br>Perform rigorous tests to ensure the performance and reliability of AI models.<br>Ensure compliance with best practices regarding ethics and bias reduction in AI solutions.</p><br><br> <br> <br> Required profile : <p><u>Profile sought</u></p><br><br><p>- Master's degree (Bac+5) in engineering or computer science</p><br><br><p>Experience: Minimum 3 years of experience (ideally 4 years) in a similar AI role, with development and testing skills.</p><br><br><p><u>Required technical skills:</u></p><br><br><p>Proficiency in programming languages such as Python, C, or Java.<br>Experience in developing and testing machine learning models.<br>Knowledge of cloud platforms (AWS, Google Cloud, Azure) for model deployment and scalability.<br>Knowledge of AI frameworks like TensorFlow, PyTorch, etc.<br>Advantageous:<br>Skills in mathematics (linear algebra, statistics) and data interpretation.<br>Proficiency in data analysis tools (SQL, pandas) and visualization tools (Tableau).</p><br><br><p><br><u>Personal qualities sought:</u></p><br><br><p>Strong team spirit and ability to work independently.<br>Intellectual curiosity and ability for continuous learning in a rapidly evolving field.<br>Great problem-solving skills and a taste for challenges.<br>Awareness of ethical issues in AI and mastery of best practices for limiting bias.<br>Motivation and willingness to fully invest in ambitious projects.<br>Communication skills and ability to explain complex technical concepts.</p><br><br> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction models (churn, propensity, risk scoring, transaction volume forecasting). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and performance monitoring in production (drift, bias). - Business value creation: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to enriching source systems and the Data Lakehouse with predictive data.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Education: Master's degree (Bac+5) in Engineering with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics. Experience: 3-5 years of proven experience on similar predictive modeling and recommendation systems projects. Technical Skills: Mastery of Machine Learning: Classic algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow, or PyTorch). Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak. Methodology: Agile working methodologies (Scrum of Scrums, weekly progress meetings). Collaboration: Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Subject Matter Experts).</font></font></p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b><font dir="auto" ><font dir="auto" >Artificial Intelligence Consultant</font></font></b></p><p><strong><br></strong></p><p><strong>Missions :</strong></p><ul> <li><font dir="auto" ><font dir="auto" >To imagine, develop and improve artificial intelligence models and architectures in line with business needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Working closely with multidisciplinary teams to effectively integrate AI solutions into existing environments.</font></font></li> <li><font dir="auto" ><font dir="auto" >Implement in-depth testing phases to ensure the robustness, performance and reliability of the developed models.</font></font></li> <li><font dir="auto" ><font dir="auto" >To ensure the application of good ethical practices and the limitation of biases in artificial intelligence systems.</font></font></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><u><strong><font dir="auto" ><font dir="auto" >Search profile</font></font></strong></u> <strong><font dir="auto" ><font dir="auto" > :</font></font></strong></p><ul> <li><font dir="auto" ><font dir="auto" >Holder of a Bac+5 level degree in engineering, computer science or an equivalent field.</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum 3 years of experience in a similar AI role.</font></font></li> </ul><p><u><strong><font dir="auto" ><font dir="auto" >Required technical skills</font></font></strong></u><font dir="auto" ><font dir="auto" > :</font></font></p><ul> <li><font dir="auto" ><font dir="auto" >Good mastery of programming languages such as Python, C or Java.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proven experience in the development and validation of machine learning models.</font></font></li> <li><font dir="auto" ><font dir="auto" >Familiarity with cloud environments (AWS, Google Cloud, Azure) for the deployment and scaling of solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of the main artificial intelligence frameworks such as TensorFlow, PyTorch, among others.</font></font></li> </ul><p><u><strong><font dir="auto" ><font dir="auto" >Personal qualities sought</font></font></strong></u><font dir="auto" ><font dir="auto" > :</font></font></p><ul> <li><font dir="auto" ><font dir="auto" >Excellent team spirit, while also being able to work independently.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong curiosity and ability to learn continuously in a constantly evolving environment.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong problem-solving skills and an attraction to technical challenges.</font></font></li> <li><font dir="auto" ><font dir="auto" >Sensitivity to the ethical issues related to artificial intelligence and respect for good practices aimed at reducing bias.</font></font></li> <li><font dir="auto" ><font dir="auto" >Commitment, motivation and willingness to get involved in ambitious projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good communication skills, with an ability to make complex technical concepts accessible.</font></font></li> </ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
</p><br><br>
<br> Job : <p>A passionate and innovative Artificial Intelligence expert, capable of designing and deploying advanced solutions while mastering the technical and ethical challenges of AI. The ideal candidate has in-depth expertise in developing, optimizing, and deploying AI models.</p><br><br><p><strong>Main Responsibilities:</strong></p><br><br><ul><li>Design, develop, and deploy AI solutions tailored to strategic and operational needs.</li><li>Identify and propose improvements to existing systems using AI.</li><li>Ensure the robustness and scalability of models through rigorous testing and validation.</li><li>Conduct in-depth studies on algorithmic bias and propose innovative solutions to reduce it.</li><li>Maintain technological watch and anticipate trends in the field of AI.</li><li>Document processes and support internal teams in adopting the developed solutions.</li></ul> <br> <br> Required profile : <p>A graduate with a Master's degree (Bac+5) in Computer Engineering</p><br><br><p><strong>Required Technical Skills:</strong></p><br><br><ul><li>Expertise in programming (Python mandatory; C or Java is a plus).</li><li>Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data management and processing tools (SQL, pandas, Spark).</li><li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and management.</li><li>Strong knowledge of applied mathematics (statistics, linear algebra) and optimization.</li><li>Ability to implement MLOps pipelines for end-to-end management of AI projects.</li></ul><p><strong>Desired Personal Qualities:</strong></p><br><br><ul><li>Ability to solve complex problems and propose creative solutions.</li><li>Strong interest in innovation and continuous improvement.</li><li>Ability to work in a team while being autonomous in project management.</li><li>Excellent communication skills to explain technical concepts clearly.</li><li>Ethical awareness and commitment to responsible practices in AI.</li></ul><p><strong>Required Experience:</strong></p><br><br><ul><li>Minimum 9 years of experience in the AI field, including development and production deployment projects.</li><li>Proven success in optimizing and deploying large-scale AI solutions.</li></ul> <br><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
</p><br><br>
<br> Job : <p>The passionate and innovative Artificial Intelligence Specialist will be able to design and deploy advanced solutions while mastering the technical and ethical challenges of AI. The ideal candidate will have in-depth expertise in developing, optimizing, and deploying AI models.</p><br><br><p><strong>Main responsibilities:</strong></p><br><br><ul><li>Design, develop, and deploy AI solutions adapted to strategic and operational needs.</li><li>Identify and propose improvements to existing systems using AI.</li><li>Ensure the robustness and scalability of models through rigorous testing and validation.</li><li>Conduct in-depth studies on algorithmic biases and propose innovative solutions to reduce them.</li><li>Ensure technological watch and anticipate trends in the field of AI.</li><li>Document processes and support internal teams in the adoption of developed solutions.</li></ul> <br> <br> Required profile : <p><u>Profile sought</u></p><br><br><p>- Master's degree (Bac+5) in engineering, AI, or software development</p><br><br><p><strong>Required experience:</strong></p><br><br><ul><li>Minimum 8 years of experience in the field of AI, including development and deployment projects.</li><li>Proven success in optimizing and deploying large-scale AI solutions.</li></ul><p><strong>Required technical skills:</strong></p><br><br><ul><li>Programming expertise (Python mandatory; C or Java is a plus).</li><li>Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data management and processing tools (SQL, pandas, Spark).</li><li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and management.</li><li>Strong knowledge of applied mathematics (statistics, linear algebra) and optimization.</li><li>Ability to implement MLOps pipelines for end-to-end AI project management.</li></ul><p><strong>Personal qualities sought:</strong></p><br><br><ul><li>Ability to solve complex problems and propose creative solutions.</li><li>Strong interest in innovation and continuous improvement.</li><li>Ability to work in a team while being autonomous in project management.</li><li>Excellent communication skills to explain technical concepts in simple terms.</li><li>Ethical awareness and commitment to responsible practices in the field of AI.</li></ul><br><br> <br><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
</p><br><br>
<br> Job : <p>The passionate and innovative Artificial Intelligence Specialist, capable of designing and deploying advanced solutions while mastering the technical and ethical challenges of AI. The ideal candidate has in-depth expertise in developing, optimizing, and deploying AI models.</p><br><br><p><strong>Main responsibilities:</strong></p><br><br><ul><li>Design, develop, and deploy AI solutions tailored to strategic and operational needs.</li><li>Identify and propose improvements to existing systems using AI.</li><li>Ensure the robustness and scalability of models through rigorous testing and validation.</li><li>Conduct in-depth studies on algorithmic bias and propose innovative solutions to reduce it.</li><li>Ensure technological watch and anticipate trends in the field of AI.</li><li>Document processes and support internal teams in adopting the developed solutions.</li></ul> <br> <br> Required profile : <p><u>Profile sought</u></p><br><br><p>- Master's degree (Bac+5) in engineering, AI, or software development</p><br><br><p><strong>Required experience:</strong></p><br><br><ul><li>Minimum 5 years of experience in the field of AI, including development and deployment projects.</li><li>Proven success in optimizing and deploying large-scale AI solutions</li></ul><p><strong>Required technical skills:</strong></p><br><br><ul><li>Programming expertise (Python mandatory; C or Java is a plus).</li><li>Mastery of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data management and processing tools (SQL, pandas, Spark).</li><li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and management.</li><li>Solid knowledge of applied mathematics (statistics, linear algebra) and optimization.</li><li>Ability to implement MLOps pipelines for end-to-end management of AI projects.</li></ul><p><strong>Desired personal qualities:</strong></p><br><br><ul><li>Ability to solve complex problems and propose creative solutions.</li><li>Strong interest in innovation and continuous improvement.</li><li>Ability to work in a team while being autonomous in project management.</li><li>Excellent communication skills to simplify technical concepts.</li><li>Ethical awareness and commitment to responsible practices in AI.</li></ul><br><br> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >As part of the development of our Artificial Intelligence expertise, we are looking for a Lead AI Consultant capable of designing and deploying innovative solutions that address our clients' business challenges. You will work on strategic projects around generative AI, intelligent agents, and automation, with a strong interest in the ServiceNow ecosystem and its AI capabilities.</font></font></p><p><font dir="auto" ><font dir="auto" >Your tasks</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Supporting clients in defining and implementing their AI strategy.</font></font></li><li><font dir="auto" ><font dir="auto" >Design, develop and deploy solutions based on generative AI, LLM, Machine Learning and AI Agents.</font></font></li><li><font dir="auto" ><font dir="auto" >To develop conversational assistants, RAG (Retrieval-Augmented Generation) solutions and intelligent workflows.</font></font></li><li><font dir="auto" ><font dir="auto" >Participate in the technical architecture of the solutions and guarantee their scalability, security and performance.</font></font></li><li><font dir="auto" ><font dir="auto" >Integrate AI solutions into information systems and Cloud platforms (Azure, AWS or GCP).</font></font></li><li><font dir="auto" ><font dir="auto" >Collaborating with technical, engineering, and architectural teams to transform functional needs into innovative solutions.</font></font></li><li><font dir="auto" ><font dir="auto" >Contributing to innovation, technological monitoring and the sharing of best practices.</font></font></li><li><font dir="auto" ><font dir="auto" >To support the skills development of the teams and to ensure a role of technical reference.</font></font></li><li><font dir="auto" ><font dir="auto" >Participate in pre-sales activities, customer workshops, demonstrations and responses to calls for tenders.</font></font></li><li><font dir="auto" ><font dir="auto" >Discover </font></font><span><font dir="auto" ><font dir="auto" >and develop the uses of AI within ServiceNow (Now Assist, AI Agents, AI Search, Workflow Automation).</font></font></span></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in Computer Science, Artificial Intelligence, Data Science or equivalent field.</font></font></p><p><font dir="auto" ><font dir="auto" >Minimum 5 years of experience on AI, Machine Learning or Data projects.</font></font></p><p><font dir="auto" ><font dir="auto" >Excellent mastery of Python.</font></font></p><p><font dir="auto" ><font dir="auto" >Solid experience in AI frameworks and libraries: LangChain, LangGraph, TensorFlow, PyTorch, scikit-learn, Hugging Face.</font></font></p><p><font dir="auto" ><font dir="auto" >Experience with Language Models (LLM), RAG, Vector Databases and AI Agents.</font></font></p><p><font dir="auto" ><font dir="auto" >Good knowledge of REST APIs, microservices and Cloud architectures.</font></font></p><p><font dir="auto" ><font dir="auto" >Experience with Azure AI, AWS Bedrock or Google Vertex AI appreciated.</font></font></p><p><font dir="auto" ><font dir="auto" >ServiceNow experience is a plus; otherwise, a strong motivation to develop this expertise is expected.</font></font></p><p><font dir="auto" ><font dir="auto" >Excellent communication, leadership and customer relationship skills.</font></font></p><p><font dir="auto" ><font dir="auto" >Fluent in French and English.</font></font></p><p><font dir="auto" ><font dir="auto" >The position is open in Casablanca and Sal</font></font></p><p><font dir="auto" ><font dir="auto" >Technical skills appreciated</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Python</font></font></li><li><font dir="auto" ><font dir="auto" >LangChain / LangGraph</font></font></li><li><font dir="auto" ><font dir="auto" >OpenAI, Azure OpenAI, Anthropic, Gemini</font></font></li><li><font dir="auto" ><font dir="auto" >RAG and vector databases (Pinecone, ChromaDB, FAISS, Weaviate)</font></font></li><li><font dir="auto" ><font dir="auto" >Docker, Kubernetes</font></font></li><li><font dir="auto" ><font dir="auto" >Git, CI/CD</font></font></li><li><font dir="auto" ><font dir="auto" >Azure, AWS or GCP</font></font></li><li><font dir="auto" ><font dir="auto" >ServiceNow (Now Assist, AI Search, AI Agents, IntegrationHub) is an asset</font></font></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong><font dir="auto" ><font dir="auto" >Context :</font></font></strong></p> <p><font dir="auto" ><font dir="auto" >As part of strengthening the DATA&AI development team, we are looking for a consultant for our client to participate in the design, development and industrialization of Data, BI and Artificial Intelligence solutions, in order to enhance the value of the company's data and support its digital transformation.</font></font></p> <ul> <li><strong><font dir="auto" ><font dir="auto" >Duration:</font></font></strong><font dir="auto" ><font dir="auto" > 110 JH renewable</font></font></li> <li><strong><font dir="auto" ><font dir="auto" >Start date:</font></font></strong><font dir="auto" ><font dir="auto" > ASAP</font></font></li> <li><strong><font dir="auto" ><font dir="auto" >Location:</font></font></strong><font dir="auto" ><font dir="auto" > Casablanca, Morocco</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Main tasks:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Managing the data lifecycle: extraction, transformation, loading and valorization via pipelines and dashboards</font></font></li> <li><font dir="auto" ><font dir="auto" >Develop and maintain ETL flows (Talend Open Studio, Python) and orchestrate workflows with Apache Airflow</font></font></li> <li><font dir="auto" ><font dir="auto" >Design and deploy interactive dashboards with Qlik Sense</font></font></li> <li><font dir="auto" ><font dir="auto" >Use Python to automate processes and perform advanced analyses</font></font></li> <li><font dir="auto" ><font dir="auto" >Designing, training and optimizing AI models (Machine Learning, Deep Learning, NLP, Computer Vision)</font></font></li> <li><font dir="auto" ><font dir="auto" >Industrializing AI solutions (technical foundation, integration into existing applications)</font></font></li> <li><font dir="auto" ><font dir="auto" >Define and implement robust and scalable AI architectures (APIs, microservices, MLOps)</font></font></li> <li><font dir="auto" ><font dir="auto" >Clean, transform and ensure the quality of datasets for model training</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating with third-party teams, Data and Dev to ensure production deployment</font></font></li> <li><font dir="auto" ><font dir="auto" >To ensure technological monitoring in order to enrich the technical foundation</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Additional activities:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Attend the technical and functional scoping workshops</font></font></li> <li><font dir="auto" ><font dir="auto" >Communicating with project stakeholders</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Required technical skills:</font></font></strong></p> <ul> <li>ETL : Talend Open Studio, Python, Apache Airflow</li> <li><font dir="auto" ><font dir="auto" >BI : Click Sense</font></font></li> <li><font dir="auto" ><font dir="auto" >Python: automation, analysis, AI development (Pandas, NumPy)</font></font></li> <li>Frameworks IA : TensorFlow, PyTorch, Scikit-learn</li> <li><font dir="auto" ><font dir="auto" >AI Industrialization: Technical Foundation, Integration, MLOps</font></font></li> <li><font dir="auto" ><font dir="auto" >Data Governance and Quality</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to transform business needs into high-performance Data & AI solutions</font></font></li> </ul> <p><strong><font dir="auto" ><font dir="auto" >Behavioral skills:</font></font></strong></p> <ul> <li><font dir="auto" ><font dir="auto" >Collaborative work with developers and technical teams</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong commitment and availability</font></font></li> </ul></div></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong>Contexte :</strong></p><br><p>Dans le cadre du renforcement de l’équipe de développement DATA&IA, nous recherchons pour notre client un consultant pour participer à la conception, au développement et à l’industrialisation de solutions Data, BI et Intelligence Artificielle, afin de valoriser les données de l’entreprise et accompagner sa transformation digitale.</p><br><ul><li><strong>Durée :</strong> 110 JH
renouvelables </li><li><strong>Démarrage :</strong> ASAP</li><li><strong>Localisation :</strong> Casablanca, Maroc</li></ul><p><strong>Missions principales :</strong></p><br><ul><li>Gérer le cycle de vie des données : extraction, transformation, chargement et valorisation via pipelines et tableaux de bord</li><li>Développer et maintenir des flux ETL (Talend Open Studio, Python) et orchestrer les workflows avec Apache Airflow</li><li>Concevoir et déployer des tableaux de bord interactifs avec Qlik Sense</li><li>Utiliser Python pour automatiser les traitements et réaliser des analyses avancées</li><li>Concevoir, entraîner et optimiser des modèles IA (Machine Learning, Deep Learning, NLP, Computer Vision)</li><li>Industrialiser les solutions IA (socle technique, intégration dans les applications existantes)</li><li>Définir et implémenter des architectures IA robustes et scalables (API, microservices, MLOps)</li><li>Nettoyer, transformer et garantir la qualité des datasets pour l’entraînement des modèles</li><li>Collaborer avec les équipes métiers, Data et Dev pour assurer la mise en production</li><li>Assurer une veille technologique pour enrichir le socle technique</li></ul><p><strong>Activités complémentaires :</strong></p><br><ul><li>Assister aux ateliers de cadrage technique et fonctionnel</li><li>Communiquer avec les parties prenantes des projets</li></ul><p><strong>Compétences techniques requises :</strong></p><br><ul><li>ETL : Talend Open Studio, Python, Apache Airflow</li><li>BI : Qlik Sense</li><li>Python : automatisation, analyse, développement IA (Pandas, NumPy)</li><li>Frameworks IA : TensorFlow, PyTorch, Scikit-learn</li><li>Industrialisation IA : socle technique, intégration, MLOps</li><li>Gouvernance et qualité des données</li><li>Capacité à transformer les besoins métiers en solutions Data & IA performantes</li></ul><p><strong>Compétences comportementales :</strong></p><br><ul><li>Travail collaboratif avec développeurs et équipes techniques</li><li>Fort engagement et disponibilité</li></ul>
<br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description: AI Model Development: Participate in the design, training, and optimization of Machine Learning (supervised/unsupervised) and Deep Learning models. Implement algorithms for specific use cases (e.g., computer vision, NLP, prediction). Data Preprocessing and Analysis: Clean, structure, and analyze datasets to make them usable. Collaborate with data scientists to identify trends and insights. Integration and Deployment: Assist in integrating models into applications or production pipelines (APIs, cloud, etc.). Contribute to technical documentation and validation testing. Technology Watch: Stay informed about advancements in AI (frameworks, tools, best practices). Participate in code reviews and internal workshops. Cross-Functional Collaboration: Work with business teams to understand needs and translate requirements into technical solutions. Attend technical and functional meetings.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Master's degree (Bac +5) in Artificial Intelligence, Data Science, Computer Science or equivalent field</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Profile 1: 3 years of experience</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Required technical skills:</font></font></p><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Languages: Python (required), knowledge of R or C++ (an advantage).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Libraries/Frameworks: Machine Learning: Scikit-learn, TensorFlow, PyTorch. Data: Pandas, NumPy, Matplotlib/Seaborn.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Tools: Experience with Jupyter Notebook, Git, Docker.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of databases (SQL/NoSQL) and cloud environments (AWS, Azure, GCP) is appreciated.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Key concepts: Basics in statistics, linear algebra, and neural networks.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of MLOps (deployment, monitoring) is an asset.</font></font></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">AI model development:</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Participate in the design, training and optimization of Machine Learning (supervised/unsupervised) and Deep Learning models.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Implement algorithms for specific use cases (e.g., computer vision, NLP, prediction).</font></font></li> </ul> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Data processing and analysis:</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Clean, structure and analyze datasets to make them usable.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaborating with data scientists to identify trends or insights.</font></font></li> </ul> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Integration and deployment:</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Help integrate the models into applications or production pipelines (APIs, cloud, etc.).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Contribute to technical documentation and validation testing.</font></font></li> </ul> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technology watch :</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Keeping informed about advances in AI (frameworks, tools, best practices).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Participate in code reviews and internal workshops.</font></font></li> </ul> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Cross-functional collaboration:</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Working with third-party teams to understand needs and translate requirements into technical solutions.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Attend technical and functional meetings.</font></font></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Master's degree</font></font></strong><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">
(Bac +5) in Artificial Intelligence, Data Science, Computer Science or equivalent field</font></font></p> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Profile 1: 3 years of experience</font></font></strong></p> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Required technical skills:</font></font></strong></p> <ul> <li><p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Languages:</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Python (required), knowledge of R or C++ (an advantage).</font></font></p> </li> <li><p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Libraries/Frameworks:</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Machine Learning: Scikit-learn, TensorFlow, PyTorch.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Data: Pandas, NumPy, Matplotlib/Seaborn.</font></font></li> </ul> </li> </ul> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Tools :</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience with Jupyter Notebook, Git, Docker.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of databases (SQL/NoSQL) and cloud environments (AWS, Azure, GCP) is appreciated.</font></font></li> </ul> <p><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Key concepts:</font></font></strong></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Basics in statistics, linear algebra, and neural networks.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of MLOps (deployment, monitoring) is an asset.</font></font></li> </ul><p></p></section>
<p>As a Senior Data Scientist, you will be responsible for the following missions:</p><p><strong>Development of predictive and prescriptive models:</strong> Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized Recommendation engines (collaborative filters, content-based, hybrid systems) to improve cross-sell and up-sell. Develop Prediction models (churn, propensity, risk scoring, transaction volume forecasting).</p><p><strong>Data and model engineering:</strong> Collaborate with Data Engineers to define features and prepare necessary training pipelines from the Datalakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, production performance monitoring (drift, bias).</p><p><strong>Business value contribution:</strong> Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to the enrichment of source systems and the Datalakehouse with predictive data.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education:</strong> Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics.</li><li><strong>Experience:</strong> 3-5 years of confirmed experience on similar predictive modeling and recommendation system projects.</li><li><strong>Technical Skills:</strong> Mastery of ML: Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow or PyTorch). Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</li><li><strong>Methodology:</strong> Agile work (Scrum of Scrums, Weekly follow-up committees).</li><li><strong>Collaboration:</strong> Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</li></ul>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"><b>Job Description</b> As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h2><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical Skills: Mastery of Machine Learning: Classic algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow, or PyTorch). Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodology: Agile working methodologies (Scrum of Scrums, weekly progress meetings). Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Subject Matter Experts).</font></font></p>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h2><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical Skills</font></font></h2><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Mastery of ML: Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">AI frameworks: Proficiency in Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow or PyTorch).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">technological environment: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodology: Working in Agile mode (Scrum of Scrums, weekly follow-up committees).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</font></font></li></ul>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical Skills: Mastery of Machine Learning: Classic algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow, or PyTorch). Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodology: Working in Agile mode (Scrum of Scrums, weekly follow-up committees).</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</font></font></p>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and production performance monitoring (drift, bias). - Business value delivery: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to enriching source systems and the Data Lakehouse with predictive data.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Master's degree (Bac+5) in Engineering with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics. Experience: 3-5 years of proven experience on similar predictive modeling and recommendation systems projects. Technical Skills: Mastery of Machine Learning: Classic algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow, or PyTorch). Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak. Methodology: Agile working methodologies (Scrum of Scrums, weekly progress meetings). Collaboration: Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Subject Matter Experts).</font></font></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>You will join a leading global R&D environment where advanced AI-driven applications support researchers in their daily work from data analysis and statistical modelling to predictive insights and dashboarding. These applications, built mainly with Shiny (R) and Streamlit (Python) , are part of a growing analytics ecosystem running on a dedicated internal platform. The mission combines maintenance of existing AI/statistical tools and development of new data-driven applications based on real user needs. You will act as a bridge between business users (researchers) and technical teams , ensuring applications remain reliable, scalable, and relevant. What you will do Investigate and fix issues in AI algorithms (bugs, performance, data pipeline failures) Maintain and improve existing Shiny (R) and Streamlit (Python) applications Ensure stability after platform or dependency updates Develop new interactive modules (dashboards, analytics tools, reporting apps) Analyse business needs and translate them into technical solutions Optimize and refactor Python and R codebases Manage data pipelines and connectors (APIs, databases, files) Conduct testing (UAT, unit tests, integration tests) Collaborate with data scientists, statisticians, and business users Document all developments and processes (French & English)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3 5 years of experience in Python and/or R development</li><li>Experience with Shiny (R) and/or Streamlit (Python)</li><li>Strong debugging and problem-solving skills</li><li>Experience maintaining production-level applications</li><li>Solid knowledge of: Data manipulation (Pandas / dplyr) Data visualisation (ggplot2, plotly, matplotlib, altair)</li><li>Experience with Git/GitHub (PRs, branching, versioning)</li><li>Understanding of basic AI/ML concepts (evaluation metrics, overfitting, pipelines)</li><li>Ability to work in a bilingual environment (French & English)</li><li>Relocation to M laga, Spain</li><li>Nice to have: Experience with GCP (BigQuery, Vertex AI)</li><li>Knowledge of Docker and APIs (FastAPI, REST)</li><li>Exposure to ML frameworks (scikit-learn, TensorFlow, PyTorch)</li><li>Statistical knowledge (PCA, hypothesis testing, DOE)</li><li>Experience with Posit / Shiny Server environments</li><li>Familiarity with NLP or computer vision concepts</li></ul><p></p></section>