Senior AI Engineer: GenAI, ML & Diagnostics on Databricks

EPAM Systems; United States; Teletrabalho; USD 120 000 - 190 000; Tempo integral

Resumo da oferta

EPAM Systems Inc. seeks a Senior AI Engineer to design, build, and deploy ML and GenAI components on Databricks for asset onboarding, diagnostics, and device analytics.

You will translate business needs into scalable AI solutions and own end-to-end model development. You will collaborate with cross-functional teams, optimize models for production, implement RAG pipelines, document extraction, and AI agent capabilities, and monitor performance to drive reliability.

Qualificações

• 3+ years in AI/ML engineering and solution delivery
• Proficiency with Databricks, Spark ML, and distributed data processing
• Experience building predictive models and anomaly-detection algorithms
• Knowledge of GenAI concepts and industrial diagnostics use cases
• Ability to design end-to-end ML workflows from data ingestion to deployment
• Upper-Intermediate English (B2+) or higher

Responsabilidades

• Build, test, and deploy ML and GenAI components on Databricks
• Develop predictive models for asset onboarding and device analytics
• Design anomaly-detection algorithms for industrial diagnostics
• Create RAG pipelines for intelligent information retrieval
• Implement document extraction workflows for structured and unstructured data
• Develop AI agent capabilities for advanced automation
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Monitor and optimize model performance, scalability, and reliability in production

Conhecimentos

AI/ML Eng

Databricks

RAG pipelines

Document extraction

GenAI concepts

English B2+

Ferramentas

Databricks

Spark ML

Descrição da oferta de emprego

EPAM Systems Inc. seeks a Senior AI Engineer to design, build, and deploy ML and GenAI components on Databricks for asset onboarding, diagnostics, and device analytics.

You will translate business needs into scalable AI solutions and own end-to-end model development. You will collaborate with cross-functional teams, optimize models for production, implement RAG pipelines, document extraction, and AI agent capabilities, and monitor performance to drive reliability.