ML Software Engineer – Production-Grade ML Software

JOB DESCRIPTION

General Objective of the Role

The ML Software Engineer is responsible for bridging the gap between research and industrial deployment by transforming experimental machine learning developments into robust, scalable, and maintainable production solutions. The role focuses on designing software architectures, preparing models for integration into operational environments, defining interfaces between data, models, and production systems, and promoting high standards of software quality, reliability, and engineering best practices across the organization.

Reporting Line

• Reports directly to the AI Solution Manager
• Works within the Digital Agronomy Department

YOUR FUTURE ASSIGNMENTS

We are looking for an engineer with a strong background in software design principles to join our Model Production team. In this role, you will be responsible for:

• Transforming experimental research code into robust, production-grade software architectures.
• Converting machine learning proof-of-concepts into scalable, maintainable, and reliable solutions.
• Preparing and optimizing models for integration into industrial production pipelines.
• Designing and defining interfaces between datasets, models, and production environments.
• Establishing high standards for code quality and promoting software engineering best practices across the team.

EXPERIENCE REQUIRED

Required Technical Skills

• ML Frameworks: PyTorch (proven experience in optimizing and adapting existing models)
• Nice to have: Knowledge of tracking tools (MLflow, ClearML, etc.)
• Nice to have: Experience with Airflow (to understand pipelines, even if not core to the role)

Desired Profile

• Experience: Minimum 5 years in software development, including 3 years in ML.
• Mindset:
• Rigorous: You like clean, modular, and well-architected code.
• Outcome-oriented: You focus on delivering value.
• Collaborative: You know how to work with research and operations teams to bridge the two worlds, across distributed locations.
• Communicative: You express ideas clearly, collaborate effectively in writing and async, and enjoy working as a team.
• Leadership: You drive initiatives forward end to end.
• Languages: Fluent in French and English.