Databricks AI ML Engineer (ICH Europe)
Core
Design and implement scalable end-to-end data pipelines and GenAI/agentic solutions on Databricks for enterprise clients.
Role type
Senior Databricks AI/ML Engineer (GenAI & Data Engineering)
Builds
Production-grade data products, GenAI solutions (RAG, agents), and scalable data pipelines.
Domain
Data Engineering & Generative AI on Cloud Platforms
Deliverable
production ML models | product features
Required skills
Databricks (Lakehouse AI, Delta Live Tables), PySpark, Spark SQL, MLflow, Python, LangChain/LangGraph/CrewAI, LLMs, RAG, Cloud Platforms (Azure/AWS/GCP), MLOps, CI/CD
Preferred skills
Experience with Azure OpenAI/AWS Bedrock/Vertex AI, Neural networks, Hyperparameter optimization
Technologies
Databricks, Delta Lake, MLflow, LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face, Azure, AWS, GCP
Responsibilities
Design and implement scalable ETL/ELT pipelines using Databricks batch and streaming; Develop and maintain data models using Lakehouse and Medallion architecture; Build robust data transformations using PySpark and Delta Lake; Integrate diverse cloud and enterprise data sources into unified datasets; Implement DevOps and DataOps practices including Git version control and CI/CD pipelines.
Seniority
Senior, hands-on IC