Machine Learning Engineer

Responsibilities

• Design, develop, and deploy end-to-end ML and AI pipelines from experimentation to production
• Build and maintain robust data and ML pipelines for model training and evaluation
• Develop LLM-powered features including RAG, structured prompting, and OCR integration
• Implement and evolve ML/LLMOps practices such as model versioning and production monitoring
• Develop APIs and microservices to expose ML/AI models to business applications
• Collaborate with Data, Product, and Engineering teams to scale prototypes into production solutions
• Stay current on academic and industrial advances in Machine Learning and LLMs

Requirements

• Master's degree in Computer Science, Applied Mathematics, Data Science, or a related field
• 3 to 5 years of experience developing and deploying Machine Learning models in production
• Proficiency in Python and experience with frameworks like scikit-learn, XGBoost, or HuggingFace
• Knowledge of ML/LLMOps tools such as MLflow, Kubeflow, or DVC
• Experience with cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)
• Proficiency with Docker, Kubernetes, and SQL
• Professional proficiency in English and bilingual in French

Preferred Qualifications

• Hands-on experience with DSPy or similar advanced prompting frameworks
• Experience with feature engineering and data preprocessing best practices

Benefits

• Flexible work environment including remote-friendly options
• Annual individual budget for learning and development
• Family Care Policy including additional paid days off for parental leave
• Mental health support through Moka Care
• Lunch vouchers and 50% public transport reimbursement
• Modern office in Paris with barista coffee and yoga lessons

About the Company

JobTeaser is the career space of 800+ European schools and universities, helping over 2 million students and young graduates find their professional path through integrated Student Hubs.