Overview
Join Veeam’s Revenue Intelligence team as a Senior Data Science Engineer to design and deliver scalable data science, machine learning, and AI solutions for smarter business decisions.
What you'll do
- Design, develop, and deploy scalable data science, machine learning, and AI solutions.
- Build production-ready ML pipelines from feature engineering through deployment and monitoring.
- Develop AI-powered applications using frameworks such as Streamlit and integrate LLMs into workflows.
- Design and maintain RAG solutions, knowledge bases, and AI agents using enterprise data.
- Conduct quantitative and qualitative analyses to identify trends and generate insights.
- Partner with business stakeholders and collaborate across data, engineering, and product teams.
What you'll need
- 4+ years of professional experience in Data Science, Machine Learning, AI Engineering, or a related field.
- Strong programming skills in Python and SQL.
- Experience designing and deploying scalable ML solutions with feature engineering, evaluation, deployment, and MLOps.
- Hands-on experience with LLMs, prompt engineering, and RAG (or similar AI frameworks including MCP).
- Understanding of data engineering concepts such as ETL/ELT, data modeling, governance, and storage optimization.
- Experience with Databricks, PySpark, or distributed data processing platforms.
Read the full description and apply on the company’s own careers page.
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