Machine Learning Engineer (W/M/D)

📋 Description

• Design, develop, and deploy end-to-end ML/AI pipelines to production.
• Build data/ML pipelines for training, evaluation, and deployment; include LLM features.
• Evolve ML/LLMOps: versioning, production monitoring, reproducibility, improvement.
• Develop APIs/microservices to expose ML/AI models.
• Analyze large datasets; identify challenges; propose solutions; iterate quickly.
• Collaborate with Data, Product, and Engineering to scale prototypes into production.

🎯 Requirements

• Master's degree (or equivalent) in Computer Science, Applied Math, Data Science, or related field.
• 3-5 years of production ML model development and deployment experience.
• Proficient in Python; experience with scikit-learn, XGBoost, LightGBM, Transformers; SQL knowledge.
• Strong ML/LLMOps knowledge: MLflow, Kubeflow, DVC, DeepEval.
• Experience with cloud platforms (SageMaker/Azure ML/Vertex AI) and Docker/Kubernetes.
• English proficiency; bilingual in French.

🎁 Benefits

• Remote-friendly: one month per year from anywhere in Europe.
• Home office equipment support.
• Family Care Policy: paid days off for parental leave.
• Moka Care: free therapy or coaching sessions.
• No-Meeting Wednesday mornings.
• Health insurance, lunch vouchers, and 50% public transport reimbursement.