Senior AI Engineer, Databricks, ML, Spark ML

Job description

We are seeking a Senior AI Engineer to build, test, and deploy ML and GenAI components for asset onboarding, industrial diagnostics, and device analytics on Databricks. The specialist will develop predictive models, anomaly-detection algorithms, RAG pipelines, document extraction, and AI agent capabilities.

Responsibilities

- Build, test, and deploy ML and GenAI components on Databricks

- Develop predictive models for asset onboarding and device analytics

- Design and implement anomaly-detection algorithms for industrial diagnostics

- Create RAG pipelines to support intelligent information retrieval

- Implement document extraction workflows for structured and unstructured data

- Develop AI agent capabilities to enable advanced automation scenarios

- Collaborate with cross-functional teams to translate business needs into AI solutions

- Optimize model performance, scalability, and reliability in production

- Monitor 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, including model design and deployment

- Proficiency in Databricks, Spark ML, and distributed data processing

- Background in developing predictive models and anomaly-detection algorithms

- Skills in building 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