Main Tasks

• Gather and question data as well as business requirements to come up with reliable performance mesasures to create actual value
• Develop and optimize ML models with a focus on product features and prioritization.
• In context of the business process, create a proper quality assurance for LLM outputs
• Build and maintain data processing pipelines, including database design.
• Deploy in production environments using cloud platforms (AWS) and containerization (Docker)
• Collaborate with product stakeholders to define and prioritize requirements
• Document and communicate technical content clearly to non-technical stakeholders.

Job Qualification

• Degree in Computer Science, Data Science, Mathematics, or equivalent
• Minimum 3 years of professional experience in Machine Learning or Data Engineering
• Experience in product-oriented software development (not research-focused)
• Ability to independently prioritize and implement requirements
• Willingness to participate in in-person meetings with local team members

Hard Skills (must have)

• Ability to explain complex technical content in a clear and understandable way
  
• Proactive problem-solving and independent prioritization of tasks
• Product and feature mindset: focus on implementation and value, not research.
  
• Python Ecosystem: Pandas, NumPy, Scikit-learn
• Data Processing: SQL, database design, ETL processes
• Cloud & Deployment: AWS, Docker
• Versioning & CI/CD: Git, automated pipelines
• Model Optimization: Hyperparameter tuning, evaluation methods, metrics
• Security: Basic knowledge of cloud security (IAM, access control).

Our Benefits

💪 Our fixed base salary is paid within 13 salaries and as extra, you have a 3% variable that is based on company performance
🧑‍⚕️Private health insurance (incl. up to 2 family members)
🛡️ Full coverage of social insurance (incl. probation period)
🍏 Free lunch while working in the office
🏖 Vacation: 15 days a year
⚖️ Flexible hybrid work policy
🗺️ Great team events
🎁 Gifts for holidays