Senior AI Engineer, Databricks, ML, Spark ML

EPAM Systems; United States; Remote; USD 120.000 - 190.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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

Aufgaben

• 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

Kenntnisse

AI/ML Eng

Databricks

RAG pipelines

Document extraction

GenAI concepts

English B2+

Tools

Databricks

Spark ML

Jobbeschreibung

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