AI Engineer (M/F)
Meritis · Lille, France ·
- Work mode
- Onsite
- Category
- AI engineering
- Company size
- 501-1000
Meritis · Lille, France ·
metropolis · Bengaluru, Karnataka, India
Noblis · Chantilly, VA
saris-ai · Toronto
Build and deploy AI/ML pipelines and models for enterprise clients, using Python, cloud platforms, and MLOps tools.
Meritis is an IT consulting, management, and development firm founded in 2007, with offices in Paris, Lille, Sophia-Antipolis, Aix-en-Provence, Montpellier, Toulouse, Nantes… And soon in new territories! Our mission? To connect the best talent with companies to give them a competitive edge.
We support our clients in all their digital transformation needs across numerous areas of expertise: Software Engineering, Finance, Project Management, Devops, Data, Cloud, Cybersecurity, and Agility.
Operating in sectors ranging from Banking, Insurance, and Telecommunications to Industry and Transport, today 40% of CAC40 companies are Meritis clients.
Driven by our values of excellence, humility, kindness, and proximity, we now have over 900 employees.
We make it a point of honor to be close to our employees and to support them individually, regardless of their role in the company. Certified Great Place To Work since 2013, our concept of well-being at work goes far beyond a simple label; our employees speak about it best: .
Design, develop, and industrialize robust data pipelines (ETL/ELT)
Participate in the implementation of artificial intelligence models (Machine Learning, Deep Learning, NLP…)
Collaborate with Data Scientists, product teams, and business stakeholders to understand needs and propose adapted solutions
Optimize algorithm performance and ensure their deployment into production in a cloud environment (AWS, Azure, GCP)
Ensure the quality, reliability, and security of the data used
Write clear technical documentation and participate in code reviews
Engineering degree or Master 2 in Computer Science, Data Science, or a similar field
Experience in programming (Python, SQL, Spark)
Proficiency in at least one cloud platform (AWS, Azure, GCP)
Good knowledge of databases (relational and NoSQL)
Initial experience in deploying ML models / Creating AI agents in production
Team spirit, rigor, autonomy, and technological curiosity
A plus: experience with tools such as MLflow, Kubernetes, Airflow, or Terraform
Your differences are our assets. That is why Meritis is committed to diversity and non-discrimination. All our positions are accessible to people with disabilities. If you have a question or believe you are a victim or witness of discrimination, you can contact [email protected] .