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EPAM Systems

Open 16d reposted 2× · 2 open copies

Senior AI Engineer, Databricks, ML, Spark ML

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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

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers

CORPORATE BENEFITS

  • Extra leave days
  • Referral bonuses

COMPENSATION PACKAGE

  • Competitive compensation paid in USD
  • Regular salary and performance reviews

MEDICAL & HEALTHCARE

  • Private health insurance
  • Well-being events

WORKING ENVIRONMENT

  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Skills

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