Research Engineer in Software Engineering for the ANR AdaptiveMLOps project (M/F)
Posted July 29, 2026
About this opportunity
Opportunity Overview
IMT Mines Alès is hiring a Research Engineer in Software Engineering for the ANR AdaptiveMLOps project. The school, founded in 1843, currently has 1,400 students, including 250 foreign students, and 380 staff members. The position is open to both men and women, as indicated by the M/F designation in the title. The ANR AdaptiveMLOps project is funded by the French National Research Agency (ANR). It focuses on adapting machine learning operations, or MLOps, to handle changing conditions and evolving data. As a research engineer, you would work at the intersection of software engineering and machine learning, building the tools and infrastructure that make adaptive AI systems possible. This is a hands-on technical role, not a purely academic one. You would design, implement, and test software systems, then document your work for both the research community and practical use. IMT Mines Alès is part of the Institut Mines-Télécom, one of France's largest public groups of engineering and management schools. The institution operates three high-level scientific and technological research and teaching centers. These focus on materials and civil engineering (C2MA), the environment and risks, and other related fields. The school's research culture emphasizes practical applications, so your work on this project would likely connect to real industrial and environmental challenges. The school is located in Alès, a town in southern France's Occitanie region, near the Cévennes mountains. The area has a Mediterranean climate with hot summers and mild winters. The cost of living is noticeably lower than in Paris or Lyon, and the region is known for its outdoor activities, including hiking and climbing. As an international applicant, you would need a valid work visa or residence permit to take up the position, and the school can typically assist with the administrative process.
Responsibilities
- Design and implement software components for adaptive MLOps systems
- Develop tools that allow machine learning models to adjust to changing data and conditions
- Write clean, maintainable, and well-documented code in relevant programming languages
- Collaborate with researchers and engineers across the project team
- Set up and maintain testing frameworks to ensure software reliability
- Prepare technical documentation and research reports
- Contribute to academic publications and project deliverables
- Participate in project meetings and present progress to stakeholders
Benefits
- Full-time research position at a public French engineering school
- Opportunity to work on a nationally funded research project
- Access to the school's research facilities and resources
- Support for professional development and conference attendance
- French public-sector benefits, including health insurance and retirement contributions
Requirements & Qualifications
- Master's degree or equivalent in software engineering, computer science, or a related field
- Strong programming skills, particularly in Python and/or Java
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Knowledge of software development practices, including version control and continuous integration
- Familiarity with MLOps concepts, including model deployment and monitoring
- Ability to work in a team and communicate technical ideas clearly
- Fluency in English; French language skills are a plus but not required
- Experience with cloud platforms such as AWS, Azure, or Google Cloud is desirable
How to Apply
- Prepare your CV and a cover letter outlining your relevant experience and interest in the AdaptiveMLOps project.
- Submit your application materials through the school's recruitment process.
- Click the Apply button below to submit your application.
Official Application Strategy & Insights
Selection Committee Priorities
- •Academic/Professional Alignment: Ensure your statement explicitly ties your past work in France to IMT Mines Ales's strategic goals.
- •Leadership Evidence: Selection panels heavily weigh demonstrated initiative, community impact, or research output.
- •Financial & Language Prerequisites: Confirm if Medium of Instruction (MOI) certificates can substitute for formal standardized language test fees.
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