Senior Machine Learning Engineer

Your role in the team

Our expectations of you

Education

• Degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.

Qualifications

• Strong proficiency in Python and common data science libraries (e.g., NumPy, Pandas, scikit-learn, PyTorch).
• Solid understanding of machine learning, statistics, and data analysis methods.
• Familiarity with agentic AI systems and modern AI architectures (e.g., LLM-based applications, tool-using agents, orchestration frameworks) and the ability to apply them when designing and building practical software solutions.
• Ability to work with large datasets and build reliable data pipelines.
• Vertrautheit mit MLOps-Praktiken wie Modellüberwachung, Versionierung und automatisiertes Retraining.
• Knowledge of vector databases, retrieval methods, or LLM-based systems.
• Strong problem-solving skills and curiosity about emerging AI and data science methods.

Experience

• Experience developing and evaluating predictive models in production environments.
• Experience communicating analytical findings clearly to technical and business stakeholders.
• Experience with deep learning, reinforcement learning, or generative AI methods.
• Experience with distributed data processing frameworks or cloud-based ML platforms.
• Experience in regulated or data-intensive industries.
• 4-6+ years of experience in data science or machine learning roles.
• Demonstrated experience delivering machine learning models in production.
• Experience working in cross-functional teams delivering data-driven products.

What we offer