Senior AI Engineer: GenAI & ML Pipelines on Databricks

EPAM Systems, Inc.; Turkey; On-site; TRY 4,420,000 - 7,367,000; Full time

Benefits offered by this job

Private health insurance

Extra leave days

Referral bonuses

Mentoring programs

Job summary

EPAM Systems, Inc. is seeking a Senior AI Engineer to build ML and GenAI components on Databricks for asset onboarding, diagnostics, and device analytics. You will craft predictive models, anomaly detectors, RAG pipelines, and AI agent features to enable advanced automation.

You will collaborate with cross-functional teams to translate business needs into scalable AI solutions, while monitoring production performance and reliability.

Qualifications

• Minimum 3 years in AI/ML engineering and solution delivery.
• Experience with AI solution engineering, including model design and deployment.
• Familiarity with GenAI, industrial diagnostics, and RAG pipelines.

Responsibilities

• Construct, validate, and implement ML and GenAI components using Databricks.
• Design predictive models for asset onboarding and device analytics.
• Architect anomaly-detection algorithms for industrial diagnostics.
• Develop RAG pipelines for intelligent information retrieval.
• Build document extraction workflows for structured and unstructured data.
• Create AI agent functionalities to support advanced automation.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Improve model performance, scalability, and production reliability.
• Monitor deployed models and refine them using performance data and user feedback.

Skills

Databricks

Spark ML

ML model deployment

GenAI applications

Anomaly detection

RAG pipelines

Document extraction

English proficiency (B2+)

Tools

Distributed data processing

Spark ecosystem

Job description

EPAM Systems, Inc. is seeking a Senior AI Engineer to build ML and GenAI components on Databricks for asset onboarding, diagnostics, and device analytics. You will craft predictive models, anomaly detectors, RAG pipelines, and AI agent features to enable advanced automation.

You will collaborate with cross-functional teams to translate business needs into scalable AI solutions, while monitoring production performance and reliability.