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HDI Group · Hannover, Lower Saxony, Germany

Senior AI Data Scientist / Data Engineer

seniorfull timePosted 6 days ago
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Stack mentioned

llmlangchaintransformerspythonsqlazureopenaiawsgcptableaudata-sciencedata-engineeringgenerative-aidata-governancescikit-learnreinforcement-learningvector-databasespower-bi

Your Tasks

- Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions

- Construct and refine (Gen)AI models, prompts, and related analytical components

- Understand how (Gen)AI serves business needs and translate requirements into technically feasible, value-driven solutions

- Guide data integration activities and ensure robust operational deployment of (Gen)AI pipelines

- Ensure data quality, compliance, and risk control across data ingestion, transformation, model development and deployment workflows

- Collaborate on the identification of capacity and skill requirements to support the broader AI roadmap

- Support cross-functional teams in implementing scalable patterns, reusable components, and well-governed AI assets across the organization

- Own data sourcing, transformations, and evaluation metrics for (Gen)AI workflows

- Deliver high-quality agent logic and performance insights to improve (Gen)AI workflows

Your Profile

- Master’s degree in computer science, data engineering, mathematics or a related field

- 5+ years of experience in data science and/or data engineering roles, including (Gen)AI-related work

- Proficiency with data engineering / data tools and modern data architetures helpful

- Strong experience in ML Models with corresponding frameworks (e.g. sklearn, ..) and how to test and monitor these

- Experience with (Gen)AI, LLM frameworks (e.g. LangChain) and methods (e.g., Transformers, RLHF, fine-tuning)

- Strong programming skills (especially Python, SQL, and at least one additional language)

- Experienced in using visualization / dashboard frameworks from Python univers (e.g. streamlit, plotly, bookeh)

- Experience deploying (Gen)AI pipelines (prompt chains, embeddings, retrieval systems, vector databases) into production environments

- Familiarity with cloud (Gen)AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI)

- Experience with analytics or visualization tools (e.g., Power BI, Tableau)

Flexible working hours

Flexitime arrangements and flexible working time models allow for a perfect work-life balance – however it suits you.

Health management

Stay healthy with us: thanks to preventive measures, a wide variety of sports and various partnerships.

Mobile working

Whether from home or on the road – our remote working model (up to 60 % mobile) offers you more freedom and independence.

Further training

We satisfy your thirst for knowledge – for example with further training, subject-specific seminars or work and study programmes.

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