EPAM Systems

Senior AI Engineer with AWS

EPAM Systems • $135K — $160K *
US-Anywhere
+ 2 other locationsRemote
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in AI/ML engineering with a focus on production-grade solutions
  • Expertise in developing AI agents and Gen AI solutions
  • Proficiency in Amazon Web Services (AWS)
  • Skills in MLflow, Feature Store, and Model Serving
  • Knowledge of Lakehouse AI and Unity Catalog
  • Experience integrating AI capabilities into business applications
  • Understanding of large-scale data processing and production AI workload management

Responsibilities

  • Design, build, and deploy AI/ML solutions across the full software development lifecycle
  • Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases
  • Own AI solutions end-to-end, from model development to monitoring and support
  • Integrate AI capabilities into business applications and data products
  • Work with large-scale data to build and support production AI workloads
  • Optimize AI models and pipelines for performance, scalability, and cost efficiency
  • Monitor and maintain AI solutions in production, ensuring reliability and performance

Benefits

  • Opportunity to work on enterprise-grade AI products
  • Hands-on ownership of cutting-edge AI technologies
  • Collaborative environment with cross-functional teams
  • Focus on building scalable and efficient AI solutions
  • Potential involvement with innovative tools like AWS Bedrock
Full Job Description
We are looking for a hands-on Senior AI Engineer with strong production experience on AWS to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. The ideal candidate has successfully delivered enterprise-grade AI products and has hands-on ownership of AI agents and Gen AI solutions in production environments. Responsibilities Design, build, and deploy AI/ML solutions across the full software development lifecycle Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases Own AI solutions end-to-end, from model development and deployment to monitoring and support Integrate AI capabilities into business applications and data products Work with large-scale data to build and support production AI workloads Optimize AI models and pipelines for performance, scalability, and cost efficiency Manage model governance, versioning, and lifecycle using MLflow Collaborate with cross-functional teams to ensure AI solutions meet business and technical requirements Monitor and maintain AI solutions in production, ensuring reliability and performance Requirements 5+ years of experience in AI/ML engineering, with a focus on production-grade solutions Expertise in AI agents development and Gen AI solutions development Proficiency in Amazon Web Services Skills in MLflow, Feature Store, and Model Serving Knowledge of Lakehouse AI and Unity Catalog Background in integrating AI capabilities into business applications and data products Understanding of large-scale data processing and production AI workload management English proficiency at B2 level or higher Nice to have Familiarity with AWS Bedrock

About EPAM Systems

EPAM Systems, Inc. is a leading global provider of digital platform engineering and development services. The company has a strong presence in North America, Europe, and Asia, and serves clients in a variety of industries, including financial services, healthcare, and retail. EPAM's services include software engineering, product development, and digital platform engineering, and the company has a reputation for delivering high-quality solutions that help its clients achieve their business goals. EPAM has been recognized as a leader in the digital services industry by a number of independent research firms, and the company has won numerous awards for its work.
Learn more about EPAM Systems
Size
58,824 employees
Market Cap
$18.2 billion
Industry
Net Income
$327.1 million
Founded
1993
5 Year Trend
+26.5%
Revenue
$2.6 billion
NASDAQ

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