Vista previa de la oferta
Senior AI Data Scientist / Data Engineer
senior · Technology / Software Development
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)