Working at Freudenberg: We will wow your world!

Responsibilities:

Design, build, and maintain ML models to work in a scalable ML infrastructure and integrate their capabilities into existing platforms and build APIs for seamless model consumption.

Collaborate with software- and data engineers and deploy multimodal AI systems using MLOps best practices.

Implement inference systems for internal process optimization across multiple verticals and contribute to production-ready multi-agent systems.

Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements. Troubleshoot and resolve issues promptly.

Implement AI quality checks, validation processes, and error handling to maintain high quality standards.

Contribute to our Code of Ethics for AI and ensure data governance and security.

Stay updated with the latest ML tools and technologies and evaluate their suitability for the organization's needs.

Qualifications:

University degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong foundation in AI principles and methodologies or equivalent combination of education and experience

≤ 2 years; Business knowledge: None

Advanced skills in Python, SQL, version control with git (must)

Advanced skills in understanding AI use case requirements

Advanced skills in Microsoft Fabric or Azure Cloud

Intermediate skills in MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems (nice to have)

Intermediate skills in Microsoft Copilot Studio (nice to have)

Advanced level of English. Skills in an additional major language are welcome

Analytical and strategic thinking

Creativity

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

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