Senior Machine Learning Engineering Consultant | Senior Consultant (m/w/d) Machine Learning Engineering

Deutsche Telekom AG

Bonn, Nordrhein-Westfalen, Deutschland
Published Mar 6, 2026
Full-time
No information

Job Summary

As a Senior Machine Learning Engineering Consultant at T-Systems, you will play a pivotal role in bridging the gap between complex business requirements and scalable AI architectures. Your day-to-day responsibilities involve collaborating directly with enterprise clients in sectors like healthcare and automotive to design, develop, and implement end-to-end machine learning systems. A significant focus of this role is on Large Language Models (LLMs) and Generative AI, where you will lead technical workshops and demonstrate the value of AI solutions to both technical and non-technical stakeholders. You will be responsible for integrating these solutions into existing IT landscapes while ensuring compliance with regulatory and security standards. This position is unique for its blend of deep technical engineering and strategic consulting, offering the chance to work at the forefront of AI research and application within the 'Digital Solutions' business unit. It is an ideal role for an expert who enjoys rapid iteration and delivering tangible business results through cutting-edge technology.

Required Skills

Education

University degree in Computer Science, Data Science, Machine Learning, or a related technical field.

Experience

  • Minimum 5 years of professional experience in the design, implementation, or consulting of AI/ML solutions
  • Proven track record of deploying scalable, low-latency machine learning solutions in production environments
  • Experience in direct customer contact and technical pre-sales activities
  • Experience working with modern development workflows and AI/ML frameworks

Languages

German (Fluent)English (Fluent)

Additional

  • Must be able to comply with regulatory and security requirements for client IT landscapes. Position involves working with cross-functional teams including engineering, sales, and product management.