Data Scientist / Data Engineer (m/w/d)
Core
Design, implement, and continuously develop data and AI-based applications, train ML models for complex business problems, and build generative AI applications using LLMs and RAG for agent systems.
Role type
Senior IC Data Scientist / Data Engineer (AI & ML)
Builds
Data and AI applications, ML models, and robust data pipelines (ETL/ELT) within Databricks
Domain
Industrial digitization, Smart Home, Green Environment
Deliverable
production ML models | product features
Required skills
Python, SQL, Databricks Lakehouse platform, Machine Learning, Generative AI (LLMs, RAG), MLOps/DataOps, Data Engineering
Preferred skills
Apache Spark (PySpark), Infrastructure as Code (Terraform), GitHub, Model Deployment (MLflow), NoSQL databases, Power BI
Technologies
Databricks, Python, SQL, Apache Spark, Terraform, GitHub, MLflow, Power BI, LLMs, RAG
Responsibilities
Conceive, implement, and develop data and AI-based applications; Train ML models and deploy them to production; Develop generative AI applications with LLMs and RAG; Build and maintain robust ETL/ELT data pipelines; Monitor, scale, and ensure quality of existing solutions (MLOps/DataOps); Collaborate with business units to translate requirements into data-driven solutions
Seniority
Senior, hands-on IC
