Lead AI/ML Engineer with Azure

Client

A leading player in the French SaaS market, specializing in payroll and HR management solutions, is undertaking a major strategic initiative to build an innovative AI-powered assistant aimed at transforming HR processes.

Position overview

We are seeking a Lead AI/ML Engineer/Data Scientist to join a high-profile, strategic initiative to develop an innovative AI Copilot — a generative AI-powered assistant designed to transform HR management processes. As a core member of a dedicated agile team, you will leverage your expertise to design, build, and deploy cutting-edge AI/ML models and systems that will shape the future of HR technology.

You will also play a crucial role in building a high-performing team and fostering a culture of innovation and excellence.

Responsibilities

• Provide technical leadership and mentorship to a team of AI/ML engineers and data scientists, fostering their growth and ensuring the quality of their work
• Lead the hands-on design, development, and deployment of the AI Copilot, taking ownership of the technical implementation and outcomes
• Play a key role in defining the technical architecture of the AI Copilot, ensuring it is scalable, robust, and secure.
• Collaborate with product managers and other stakeholders to define the product roadmap and translate business requirements into technical solutions
• Establish and promote best practices for MLOps, including model training, versioning, deployment, and monitoring
• Work closely with other engineering teams to integrate the AI Copilot with our existing product suite

Requirements

• Degree in Computer Science, AI, or related fields, or equivalent experience.
• 8+ years of experience in AI/ML engineering or data science, with a proven track record of leading technical teams and delivering complex products
• Proven hands-on experience with Microsoft Azure services
• Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face)
• Deep understanding of the modern AI development ecosystem, including open and closed-source Large Language Models (LLMs), RetrievalAugmented Generation (RAG), agentic systems, and model evaluation techniques
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps principles
• Demonstrated ability to lead, mentor, and inspire a team of engineers
• Professional fluency in French is an advantage

Nice to have

• Experience in SaaS product development
• Professional proficiency in French is an advantage