Senior AI Engineer, Databricks, ML, Spark ML
We are looking for a Senior AI Engineer to build, test, and deploy ML and GenAI components for asset onboarding, industrial diagnostics, and device analytics on Databricks. This specialist will create predictive models, anomaly-detection algorithms, RAG pipelines, document extraction, and AI agent capabilities.
Responsibilities
- Construct, test, and deploy ML and GenAI components on Databricks
- Create predictive models for asset onboarding and device analytics
- Architect and implement anomaly-detection algorithms for industrial diagnostics
- Build RAG pipelines to enable intelligent information retrieval
- Deliver document extraction workflows for structured and unstructured data
- Engineer AI agent capabilities to power advanced automation scenarios
- Partner with cross-functional teams to translate business needs into AI solutions
- Enhance model performance, scalability, and reliability in production
- Track deployed models and iterate based on performance metrics and feedback
Requirements
- 3+ years of experience in AI/ML engineering and solution delivery
- Expertise in AI Solution Engineering, covering model design and deployment
- Proficiency in Databricks, Spark ML, and distributed data processing
- Background in creating predictive models and anomaly-detection algorithms
- Skills in constructing RAG pipelines, document extraction, and AI agents
- Understanding of GenAI concepts and industrial diagnostics use cases
- Capability to design end-to-end ML workflows from data ingestion to deployment
- Proficiency in English at an Upper-Intermediate level (B2) or higher
