Data Product Engineer (AI) (f/m/d)

Responsibilities

• Use Case Identification & Prioritization: Identify and prioritize AI use cases in close collaboration with Sales and Business stakeholders
• AI Data Product Ownership: Design, develop, and scale AI-enabled data products from concept to productive deployment
• Business-to-AI Translation: Translate business problems into AI/ML solutions delivering measurable business value
• End-to-End Lifecycle Management: Own the end-to-end lifecycle of AI data products (development, deployment, monitoring, optimization)
• Model Development & Engineering: Implement and continuously improve models (e.g. pricing models, prediction models, agents)
• Model Performance & Optimization: Ensure robust model performance through monitoring, retraining, and enhancement
• Cross-functional Collaboration: Collaborate across Business, IT, and Data functions to drive adoption and impact
• AI Industrialization & Scaling: Contribute to the industrialization of AI use cases across General Industry Sales & Services

Requirements

• Education: Degree in Data Science, Computer Science, or a related field, or equivalent practical experience
• Professional Experience: Hands‑on experience with data, analytics, or AI‑enabled products in an industrial or business context
• Technical Expertise: Strong coding skills in Python, C#, C++ and/or SQL; practical understanding of the AI lifecycle (training vs. inference, drift, validation, retraining); experience with data pipelines, feature engineering, and product operation
• Project & Collaboration Skills: Ability to work independently within defined guardrails and collaborate across functions
• Languages: Business fluency in English
• Mindset & Skills: Strong analytical and problem‑solving skills combined with domain understanding
• ‎ ‎
• Freudenberg FST GmbH

Additional Information

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