Related skills
azure sql python databricks spark📋 Description
- Deliver end-to-end AI use cases, incl data pipelines, features, models, and intelligent agents.
- Build and operate Databricks lakehouse pipelines (batch and streaming) with data quality checks.
- Engineer advanced AI solutions focusing on RAG, tool-using agents, and prompts.
- Enable business teams by creating reusable components, templates, and best practices for AI development.
- Ensure operational excellence, maintaining reliability, cost control, and AI governance.
- Develop custom models and prompts tailored to engineering and business challenges.
🎯 Requirements
- Bachelor's or Master's in Computer Science, Data Science, or related field.
- Strong Python and SQL for data engineering and ML.
- Databricks expertise: Spark, Delta Lake, and Workflows.
- Demonstrable project portfolio of data/AI solutions.
- Proactive learner with a team-first mindset.
- Fluent in English + EU residency (no sponsorship).
🎁 Benefits
- Azure AI Stack: experience with Azure OpenAI and Azure ML.
- LLM Toolkits: LangChain or Semantic Kernel; knowledge of LLMOps.
- DevOps/IaC: GitHub Actions and Terraform.
- ML Frameworks: PyTorch, TensorFlow, scikit-learn.
- Databricks ecosystem: Spark, Delta Lake, and Workflows.
- Azure AI tooling and cloud collaboration.
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