Senior AI Agent Developer with AWS, Databricks

EPAM Systems Inc

  • Georgia, GA
  • 3 days ago

    Highlights

    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. Background in collaborating with cross-functional teams, including data engineers, product, and business stakeholders.

    Numbers & Facts

    LocationGeorgia, GA

    Description

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    Senior AI Agent Developer with AWS, Databricks

    Remote in Georgia, & 4 others

    AI Solution Engineering

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    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

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