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.
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.