Machine Learning Engineer (M/W/D)

Your missions

• Design, develop, and deploy end-to-end ML and AI pipelines, from problem framing and experimentation through to production.
• Build and maintain robust data and ML pipelines for model training, evaluation, and deployment, develop LLM-powered features including RAG, structured prompting, few-shot learning, and OCR integration.
• Implement and evolve ML/LLMOps practices: model versioning, production monitoring, reproducibility, and continuous improvement.
• Develop APIs and microservices to expose ML/AI models to business applications.
• Analyze large datasets, identify modeling challenges, propose solutions, and iterate quickly.
• Collaborate closely with Data, Product, and Engineering teams to turn prototypes into scalable, reliable production solutions.
• Stay current on academic and industrial advances in Machine Learning, LLMs and emerging AI technologies and apply them to real-world use cases.
• Contribute to best practices in testing, CI/CD, and deployment automation.

Qualifications

• You hold a Master's degree (or equivalent) in Computer Science, Applied Mathematics, Data Science, or a related quantitative field.
• You have 3 to 5 years of experience developing and deploying Machine Learning models in production environments.
• You are proficient in Python and have hands‑on experience with major ML/AI frameworks (scikit-learn, XGBoost, LightGBM, HuggingFace Transformers, DSPy…). We value practical experience and adaptability over specific tools.
• You have solid knowledge of ML/LLMOps tools (MLflow, Kubeflow, DVC, DeepEval or similar) and ML‑oriented DevOps practices.
• You have experience with cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) and containerization (Docker, Kubernetes).
• You are comfortable with SQL and knowledgeable in feature engineering and data preprocessing best practices.
• You have a pragmatic, analytical, and results‑oriented mindset: you favor frequent iterative deliveries over long research tunnels.
• You enjoy working in cross‑functional teams (Data, Tech, Product) and can translate business needs into concrete ML/AI solutions.
• You are autonomous, curious, and comfortable in a fast‑evolving ecosystem.
• Professional proficiency in English, bilingual in French.

Package

55,000 Euro to 70,000 Euro - fixed salary only

Benefits

• Join a mission‑driven company with a concrete impact on the new generation.
• Share our three core virtues with our people all over Europe: #Committed, #OneTeam, #DrivEn.
• Take part in a dynamic internal life, where everyone can contribute (all‑hands, local parties, team drinks, team‑buildings, etc.).
• Grow and develop your career with a strong training policy, including an annual individual budget for learning opportunities.
• Enjoy our flexible work environment: remote‑friendly, with one month per year from anywhere in Europe, and home office equipment support. Some positions can even be fully remote.
• Benefit from our Family Care Policy: four additional paid days off during your return month from parental leave, three paid child‑sick days per year, and other initiatives to support parents.
• Take care of your mental health with Moka Care: four free therapy or coaching sessions per year (with additional support in challenging personal situations), plus regular workshops for managers in partnership with Moka Care and Alan.
• Make your voice count: our Take Care Survey (run twice a year) ensures employee feedback directly shapes JobTeaser’s culture, collaboration and cross‑team work.
• Protect your focus time with our No‑Meeting Wednesday mornings initiative.
• Collaborate closely with our CSE, actively involved in enhancing work life and benefits (with the HappyPal platform).
• Enjoy the essentials: RTT, health insurance, lunch vouchers, holiday bonus, and 50% public transport reimbursement.
• A modern and well‑located office at WeWork - including delicious barista coffee and free yoga lessons.
• Be proud: 88% of our employees say they are proud to work in their team at JobTeaser (Internal Take Care Survey, November 2024).

Hiring process and the next steps

• A 30‑min screening call to get to know you better with one of our Talent Acquisition Specialists.
• An interview with your future manager to discuss your experiences and motivations.
• One or several focus interview that can include business cases to test your hard skills.
• A final round with your Department Head to confirm the mutual match.
• Welcome at JobTeaser.

We are committed to creating a working environment where everyone feels comfortable. We promote diversity within our teams and every application we receive is screened through a unique, pre‑established, competency‑based process.