Machine Learning Engineer
2 weeks ago
- 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.
- 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 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
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