Machine Learning Engineer (W/M/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.