Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques.
Design and implementation of machine learning models in different domains (e.g. SCM, Manufacturing, Product Management and Corporate Functions) following the CRISP- DM process.
Train, fine-tune, and optimize deep learning models for various applications.
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Experience in Power BI, Data Analytics Statistics Knowledge, DMAIC problem-solving skills, understanding and application of a broad range of industrial engineering tools.
Excellent communication skills with a strong customer and service orientation, combined with negotiation skills and the ability to influence and drive decisions.
Cross-functional mindset and collaboration skills, with the ability to work independently, in a structured manner, and with strong analytical thinking.
Internal exposure due to closed collaboration with different teams in Germany.
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Good understanding of IT systems and technologies, including SQL, Oracle, Linux, Python, and scripting languages.
Highly motivated and proactive, with the ability to take ownership of applications and projects while serving as a key interface between Process Engineering and Automation teams.
Excellent command of the English language, both written and spoken, is mandatory.
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