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Senior AI Engineer, Databricks, ML, Spark ML

EPAM Systems

Role overview

Qualifications

  • 3+ years of experience in AI/ML engineering and solution delivery
  • Expertise in AI Solution Engineering, covering model design and deployment
  • Proficiency in Databricks, Spark ML, and distributed data processing
  • Understanding of GenAI concepts and industrial diagnostics use cases

Responsibilities

  • Construct, test, and deploy ML and GenAI components on Databricks
  • Create predictive models for asset onboarding and device analytics
  • Architect and implement anomaly-detection algorithms for industrial diagnostics
  • Partner with cross-functional teams to translate business needs into AI solutions

Key facts

Hard skills

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are looking for a Senior AI Engineer to build, test, and deploy ML and GenAI components for asset onboarding, industrial diagnostics, and device analytics on Databricks. This specialist will create predictive models, anomaly-detection algorithms, RAG pipelines, document extraction, and AI agent capabilities. Responsibilities Construct, test, and deploy ML and GenAI components on Databricks Create predictive models for asset onboarding and device analytics Architect and implement anomaly-detection algorithms for industrial diagnostics Build RAG pipelines to enable intelligent information retrieval Deliver document extraction workflows for structured and unstructured data Engineer AI agent capabilities to power advanced automation scenarios Partner with cross-functional teams to translate business needs into AI solutions Enhance model performance, scalability, and reliability in production Track 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, covering model design and deployment Proficiency in Databricks, Spark ML, and distributed data processing Background in creating predictive models and anomaly-detection algorithms Skills in constructing 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

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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