Why This Role Stands Out
You will leverage your expertise in AI/ML and data analysis to optimize complex manufacturing processes within the pharmaceutical sector, enjoying a hybrid work model for flexibility. This role is perfect for a mid-senior Data Engineer with a strong background in Python, C++, and ML libraries, eager to contribute to cutting-edge projects and develop your skills in a dynamic environment. Apply now to explore this exciting opportunity and grow your career in a reputable industry.
Quick Overview
Job Description
Data Engineer | Mannheim, Germany | Hybrid
This employer is seeking a skilled Data Engineer to join their team in the pharmaceutical sector. They offer a secure work environment with exciting challenges and a commitment to innovation in process optimization.
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.
- Structured approach to work and strong problem-solving skills.
- Ability to precisely document complex issues.
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.
- Access to a cost-effective wellbeing network.
Apply via Haystack today!
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