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

Job-ID: 237283

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

Professionals

Regular (Part Time possible)

Berlin +6

Bonn

Darmstadt

Düsseldorf

Frankfurt am Main

Hamburg

Munich

Application Deadline 10/13/2025

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5 years and more Experience Required

40.00h Working hours

0-25% Amount of Travel

English, German

T-Systems International GmbH

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Your tasks

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

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Your Profile

• 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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About us

About us

We are a team of skilled engineers and ML experts working with clients in healthcare, public sector, and automotive industries. Our focus is on rapid iterations and delivering tangible business outcomes through innovative AI solutions.

In the "Digital Solutions" business unit, we focus on providing our customers with a clear competitive advantage through pioneering digital solutions. Our goal is to support companies in driving their digital transformation and strengthening their competitiveness in an increasingly digital market environment. The "Digital Enabler" area plays a key role within our Digital Solutions portfolio, concentrating on fields such as Artificial Intelligence, Data Intelligence & Big Data, Hyperautomation, Application-Led Cloud Transformation, IoT, Digital Identity, and more. For all the focus industries in the "Digital Solutions" portfolio area, we deliver state-of-the-art expertise and solutions in close collaboration with the industry-oriented teams.

In the "Artificial Intelligence" area, our expertise focuses on "Generative AI & LLM Services," "AI Architecture," "Computer Vision," and "AI Platforms & Assets.

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