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

As an AI / ML Consultant, you will play a pivotal role in designing and delivering innovative AI and machine learning solutions that address the complex business challenges of T-Systems enterprise clients. Combining deep technical expertise with strong consultative skills, you’ll bridge the gap between customer requirements and robust, scalable AI architectures.

Key Responsibilities

• Collaborate directly with clients to understand business needs and translate them into AI / ML solution designs. Architect, develop, and implement end-to-end machine learning systems, with an emphasis on large language models (LLMs) and cutting-edge AI technologies.
• Lead technical workshops and proofs of concept, demonstrating the value of AI / ML solutions to both technical and non-technical stakeholders.
• Customize and deploy AI-driven solutions, integrating with clients existing IT landscapes and ensuring regulatory and security compliance.
• Stay up to date with the latest research, tools, and frameworks in AI and machine learning quickly experiment with new approaches and technologies.
• Analyze data to extract actionable insights and inform the development, deployment, and tuning of AI models. Work closely with internal cross-functional teams including engineering, sales, and product management to deliver tailored client solutions.
• Support business development efforts with technical expertise in pre-sales engagements, helping to scope and shape new AI opportunities.
• Degree in Computer Science, Data Science, Machine Learning, or a related technical field. Minimum of 5 years of professional experience in AI / ML solution design, implementation, or consulting roles.
• Strong problem-solving skills and a keen eye for detail.
• Advanced programming ability in Python and familiarity with modern development workflows.
• Practical experience with LLMs and popular AI / ML frameworks: Transformers, PyTorch, TensorFlow expertise with RAG frameworks such as LlamaIndex or LangChain is highly valued.
• Proven record integrating APIs and deploying scalable, low-latency machine learning solutions into production.
• Ability to rapidly digest new information from research papers and blogs, apply it, and drive system enhancements.
• Excellent communication and presentation skills in English and German with the ability to explain complex ideas to diverse audiences.
• Previous client-facing experience and/or involvement in technical pre-sales is a plus.

In case of equal qualification, disabled candidates will be considered preferentially.

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