Role overview
We are looking for a Senior AI Engineer to join a global Automotive company. The company is enhancing its data platform (Databricks) with AI capabilities and is looking for a senior ML Engineer. The profile they are seeking has experience from the whole ML chain, including data feature model deployment monitoring.
Basic qualifications
- At least 5 years of experience building and maintaining production models and AI solutions
- Able to contribute to all parts of an AI solution
- Azure AI stack, such as Azure AI services, Microsoft Foundry, etc
- Strong Python skills
- Proficient in ML frameworks such as Tensorflow, PyTorch, MLlib and Scikit-Learn
- Hands-on experience in designing and operating functions in Azure and Databricks
- RAG-arkitektur (retrieval + generation)
- Embeddings (OpenAI / Databricks / open source)
- Prompt engineering + system prompts
- Agent-design (tools, routing, memory)
- Model selection (GPT vs open models vs cost/perf tradeoffs)
- AI-architecture (RAG vs fine-tuning vs agents)
- Chunking
- Co-pilot experience
- Experience in connecting different agents
- Experience from cost consciousness – Dev, Deploy and Run vs. business value.
Preferred qualifications
- Experience with RAG systems
- Agentic systems and RPA
- PySpark/Apache Spark
- Event-driven systems or streaming data
- Experience mentoring junior ML and Data engineers
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Pytorch Tensorflow Generative Ai