Senior AI Engineer, Databricks, ML, Spark ML

Job description

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