Data Engineer

We're hiring on behalf of a Haystack partner!

The Role

• Design and implement AI/ML models for optimizing complex manufacturing processes (e.g., Predictive Maintenance).
• Analyze large datasets from pilot plants using statistical methods and big data time-series analysis.
• Conceptualize, conduct, and statistically evaluate measurement setups for development and production machinery.
• Provide technical leadership for sub-projects, including resource planning, deadline management, and external partner coordination.
• Continuously develop and maintain production ML models, optimizing data flows between hardware and software.

What You'll Need

• Degree in Process Engineering, Data Science, Physics, Computer Science, or a comparable field.
• Solid professional experience in process/product development, preferably in a regulated medical technology environment.
• Proficiency in Python and experience with hardware-near programming in C++.
• Experience with ML libraries like TensorFlow or Keras.
• In-depth knowledge of automated data acquisition and time-series analysis.
• Familiarity with implementing Machine Learning Operations (MLOps) in an industrial context.
• Good written and spoken German language skills.

What's On Offer

• Attractive compensation package including holiday and Christmas bonuses.
• Company pension scheme contribution after probation.
• Up to 30 days of annual leave.
• Professional development through e-learning offerings.
• Open company culture with a focus on collaboration.

Apply via Haystack today!