ML Engineer — AI​/GenAI AWS; TS​/SCI, Secure

Amazon
Seattle; Washington, US
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designing and implementing AI/ML solutions on AWS
  • Collaborating with stakeholders to develop machine learning models
Typical background
Machine LearningData Science

Transferable backgrounds

  • Coming from Data Scientist
  • Coming from AI Engineer

Skills & requirements

Required

Machine LearningAWSSecurity Clearance

Preferred

Cloud ComputingModel Deployment

Stack & domain

Machine LearningAIGenaiAWSStemSecurity ClearanceCollaborationTechnical GuidanceModel DevelopmentModel ImplementationModel ScalingStakeholder Collaboration

About the role

Original posting from Amazon

Position: ML Engineer — AI/GenAI on AWS (TS/SCI, Secure)

Amazon is seeking a Machine Learning Engineer to design, implement, and scale AI/ML solutions on AWS. Candidates must possess a Bachelor's degree in STEM, 3+ years of relevant experience, and an active Top Secret security clearance. Responsibilities include collaborating with stakeholders, developing machine learning models, and providing technical guidance. The compensation package offers sign-on payments, stock options, health insurance, and more.

Join us to make a difference in the field of AI and machine learning.

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Source: Amazon careers

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