Senior AI Engineer, Databricks, ML, Spark ML

EPAM Systems Inc

  • Georgia, GA
  • 4 days ago

    Highlights

    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.

    Numbers & Facts

    LocationGeorgia, GA

    Description

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    Senior AI Engineer, Databricks, ML, Spark ML

    Remote in Georgia, & 4 others

    AI Solution Engineering

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    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

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