✦ Luna Orbit — AI & Machine Learning

Data Manager

at EPAM Systems

📍 Remote, US Remote 💰 $160K – $210K USD / year Posted March 06, 2026
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Position Details

Salary $160K – $210K USD / year
Type Not Specified
Experience lead
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

About this role

This role involves leading enterprise AI and ML projects, providing technical leadership, and collaborating with clients to deliver scalable AI solutions.

Key Responsibilities

  • Provide technical leadership in AI
  • Drive AI lifecycle from pre-sales to production
  • Collaborate with cross-functional teams
  • Shape AI solutions and scope engagements
  • Stay updated with AI advancements

Technical Overview

Focuses on AI, ML, Data Science, cloud platforms (AWS, Azure, GCP), AI operations, and enterprise AI deployment.

Ideal Candidate

The ideal candidate is a senior AI professional with extensive hands-on experience in designing and deploying AI and ML solutions, particularly in enterprise environments. They possess strong leadership skills, client engagement experience, and familiarity with cloud platforms like AWS, Azure, and GCP.

Must-Have Skills

Hands-on AI expertiseDesigning and implementing AI solutionsExperience with production AI deliveryFamiliarity with GCPAWSAzureDatabricks

Nice-to-Have Skills

Experience with ML/GenAI programsClient-facing experienceTechnical leadership

Tools & Platforms

GCPAmazon Web ServicesAWSAzureDatabricks

Required Skills

Generative AIMLData ScienceAI engineering solutionsGCPAWSAzureDatabricksAI operationsADLC

Hard Skills

Generative AIMLData ScienceAI engineering solutionsGCPAmazon Web ServicesAWSAzureDatabricksAI operationsADLC

Soft Skills

LeadershipCommunicationClient engagementCollaborationProblem-solving

Industry & Role

Industry Technology Consulting / AI & Data Science
Job Function Lead enterprise AI and ML solution delivery

Keywords for Your Resume

AIGenerative AIMachine LearningData ScienceAI engineeringGCPAWSAzureDatabricksADLCAI solutionsAI operationsClient engagementLeadershipTechnical expertise

Deal Breakers

Lack of hands-on AI deployment experience, No experience with cloud platforms like AWS, Azure, or GCP, Absence of leadership or client engagement skills

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