EPAM Systems

Senior AI Agent Developer with AWS, Databricks

EPAM Systems$135K — $160K *
US-AnywhereRemote in Georgia, US
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in ML/AI solutions deployment
  • Expertise in AWS and Databricks for ML/AI pipelines
  • Proficiency in MLOps practices including CI/CD and model monitoring
  • Experience in feature engineering with large-scale data
  • Strong collaboration background with cross-functional teams
  • Effective communication skills for stakeholder engagement
  • Familiarity with best practices in code quality and responsible AI

Responsibilities

  • Design, build, and optimize ML/AI models and pipelines
  • Deploy models to production, ensuring they are scalable and reliable
  • Build and maintain MLOps workflows for CI/CD and model monitoring
  • Engineer features and prepare training datasets from large-scale data
  • Collaborate with data engineers, product, and business teams to deliver solutions
  • Communicate progress and insights effectively to stakeholders
  • Troubleshoot and enhance models currently in production

Benefits

  • Collaborative and supportive team culture
  • Opportunities for professional growth and development
  • Focus on best practices for responsible AI and code quality
Full Job Description
We are looking for a hands-on Senior AI Agent Developer to build, deploy, and maintain ML/AI solutions in production, bringing strong end-to-end experience from model development through deployment, monitoring, and scaling. Responsibilities Design, build, and optimize ML/AI models and pipelines Deploy models to production, ensuring scalability, reliability, and performance Build and maintain MLOps workflows, including CI/CD, model monitoring, and retraining Work with large-scale data to engineer features and prepare training datasets Collaborate with data engineers, product, and business teams to deliver solutions Communicate effectively with stakeholders, sharing progress, insights, and outcomes clearly Contribute to a collaborative and supportive team culture as a strong team player Troubleshoot and continuously improve models running in production Follow best practices for code quality, documentation, and responsible AI Requirements 3+ years of experience building and deploying ML/AI solutions in production environments Expertise in AWS and Databricks for building and scaling ML/AI pipelines Proficiency in MLOps practices, including CI/CD, model monitoring, and retraining workflows Skills in feature engineering and preparing training datasets from large-scale data Background in collaborating with cross-functional teams, including data engineers, product, and business stakeholders Competency in clear stakeholder communication, sharing progress, insights, and outcomes Understanding of best practices for code quality, documentation, and responsible AI English proficiency at B2 level or higher

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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