Essential Job Functions:

Managerial Skills:

• Lead and manage data science & AI operations and projects, ensuring they are delivered in accordance with client commitments and expectations.
• Provide technical guidance and mentorship to AI engineers, data scientists, and team members.
• Contribute to departmental strategy and objectives while ensuring alignment with the organization's goals.
• Foster a collaborative and growth-oriented team environment that promotes continuous learning and experimentation.

Technical Skills:

• Lead the design, development, and deployment of AI and machine learning models for various use cases, such as predictive analytics, natural language processing (NLP), computer vision, or recommendation systems.
• Oversee the implementation of AI-driven solutions in production environments, ensuring scalability, robustness, and efficiency.
• Evaluate and implement emerging AI/ML technologies and best practices to ensure state-of-the-art solutions.
• Collaborate with data engineering teams to ensure efficient data pipelines, model training, and deployment processes.
• Drive efforts in MLOps, ensuring continuous integration and delivery (CI/CD) of AI models.
• Ensure data quality, governance, and security in AI models and solutions.
• Develop AI roadmaps and prioritize AI projects based on business needs and impact.
• Collaborate with product managers and stakeholders to define requirements, goals, and expected outcomes for AI projects.

Basic Qualifications:

• Typically, 8+ years of relevant work experience, with a minimum of 3+ years in a similar AI leadership role.
• Proven experience in leading projects and operations, including model development, deployment, and monitoring with expertise in AI/ML:
• Proficient in Python, R, Scala with experience in cloud AI platforms (AWS, Azure, Google Cloud AI).
• Strong understanding of deep learning, reinforcement learning, NLP, and generative AI technologies, including large language models (LLMs), fine-tuning techniques, and advanced prompt engineering
• Experience with RAG based solutions architecture
• Proven experience in MLOps, including the implementation of automated pipelines, model deployment, monitoring, and continuous integration/continuous delivery (CI/CD) for machine learning models

Other Qualifications:

• Excellent communication skills with the ability to articulate complex AI concepts to non-technical stakeholders.
• Strong problem-solving and analytical thinking, with a focus on delivering value through AI-driven innovation.
• Relevant certifications in AI or cloud platforms (Microsoft, AWS, Google).
• Advanced degree (Master's or Ph.D.) in Computer Science, AI, Machine Learning, or a related field is a plus.
• Fluency in English and French; proficiency in another language is a plus.