Overview

We are looking for a Senior AI Engineer who will construct, validate, and implement ML and GenAI components supporting asset onboarding, industrial diagnostics, and device analytics using Databricks. This professional will create predictive models, anomaly-detection algorithms, RAG pipelines, document extraction systems, and AI agent functionalities.

Responsibilities:
  • Construct, validate, and implement ML and GenAI components using Databricks
  • Design predictive models supporting asset onboarding and device analytics
  • Architect and build anomaly-detection algorithms for industrial diagnostics
  • Develop RAG pipelines that enable intelligent information retrieval
  • Build document extraction workflows handling both structured and unstructured data
  • Create AI agent functionalities that support advanced automation use cases
  • Work with cross-functional teams to convert business requirements into AI solutions
  • Enhance model performance, scalability, and reliability within production environments
  • Track deployed models and refine them based on performance data and user feedback
Required Qualifications:
  • Minimum 3 years working in AI/ML engineering and solution delivery
  • Strong background in AI Solution Engineering, covering model design and deployment
  • Skilled in Databricks, Spark ML, and distributed data processing systems
  • Experience creating predictive models and anomaly-detection algorithms
  • Competency in constructing RAG pipelines, document extraction, and AI agents
  • Familiarity with GenAI principles and industrial diagnostics applications
  • Ability to architect complete ML workflows spanning data ingestion through deployment
  • English language proficiency at Upper-Intermediate (B2) level or above
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Skills:
  • AI Solution Engineering
Note:

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