• 5+ years of hands-on experience building ML/AI solutions in Python, with strong foundations in machine learning concepts, software engineering, and production-grade development practices;
• Proven experience designing, developing, optimizing, and maintaining end-to-end AI/ML pipelines (data processing, training, evaluation, deployment, and monitoring);
• Strong track record in model evaluation and performance measurement, including defining metrics, running assessments, and monitoring model quality over time.
• Experience building production-grade AI agent backends, e.g., using LangChain or pydantic -ai, wrapped in FastAPI services ;
• Full-stack experience with TypeScript frameworks such as Next.js. ;
• Experience working in air-gapped / restricted-network environments.

Duties/role:

• Applying established machine learning and AI techniques to new problems and datasets;
• Building, optimizing, and maintaining machine learning and AI models and supporting pipelines;
• Evaluating and monitoring ML/AI system outcomes, model performance, and data quality; defining appropriate metrics and acceptance criteria.

Additional information:

If you are interested, for further information, please contact the point of contact for this offer.