Ml Engineer Jobs

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AI/ML Engineer (AWS)

ReplyDetroit Area, MI

About The Position

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and services on AWS. You will work closely with product, architecture, and engineering teams to deliver reliable, high-quality solutions that meet business and customer needs. You should be comfortable contributing across the software development lifecycle, from design and implementation through deployment, support, and continuous improvement.

Requirements

  • Must be US Citizen or green card holder
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 3 years experience delivering machine learning or AI-based solutions in production settings.
  • 3 years experience programming in Python or a comparable language.
  • 3 years experience working with large language models or Generative AI technologies.
  • 3 years experience building and deploying solutions in AWS environments.
  • 3 years experience establishing automated build, test, and release workflows for ML or data-driven applications.
  • 3 years experience supporting deployed models, including monitoring performance and managing updates.

Nice To Haves

  • Master’s degree or higher in Computer Science, Engineering, or related field.
  • Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures.
  • Experience designing distributed systems or working within cloud-based environments.
  • Experience integrating AI capabilities into customer-facing or enterprise applications.
  • Experience working in Agile development environments.
  • AWS certification

Responsibilities

  • Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities.
  • Create, evaluate, and deploy machine learning solutions, including applications powered by large language models.
  • Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability.
  • Partner with product and engineering teams to translate business needs into practical, deployable AI solutions.
  • Integrate machine learning components into existing platforms and services.
  • Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions.
  • Monitor performance in production environments and refine systems based on real-world usage.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Number of Employees

5,001-10,000 employees

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