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We're hiring on behalf of a Haystack partner!
The Role
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.
- 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.
- 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.
Key Skills
Ranked by relevance
machine learning
tensorflow
big data
python
mlops
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- Posted
- Jul 07, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Mannheim
- Company
- Haystack
Industries
Technology
Information
Internet
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-07-08
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View Job Details
Related
AI/ML Computational Scientist
2026-07-08
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DevOps Engineer | Centric Services
2026-07-08
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