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AI/ML Engineer (AWS)

3 weeks, 3 days ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
Agile AWS CI/CD Generative AI LLM Machine Learning Python
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Reply

Reply

Reply specializes in designing and implementing innovative digital solutions across various sectors, including telecommunications, media, banking, and public administration, by leveraging new communication channels, big data, cloud computing, and the I...

Internet Software & Services
10K-50K
Founded 1996
$85M raised
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Description

  • 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.
  • Contribute across the software development lifecycle from design and implementation through deployment, support, and continuous improvement.

Requirements

  • Must be a US citizen or green card holder.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3 years of experience delivering machine learning or AI-based solutions in production settings.
  • 3 years of experience programming in Python or a comparable language.
  • 3 years of experience working with large language models or Generative AI technologies.
  • 3 years of experience building and deploying solutions in AWS environments.
  • 3 years of experience establishing automated build, test, and release workflows for ML or data-driven applications.
  • 3 years of experience supporting deployed models, including monitoring performance and managing updates.
  • Master’s degree or higher in Computer Science, Engineering, or a related field (preferred).
  • Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures (preferred).
  • Experience designing distributed systems or working within cloud-based environments (preferred).
  • Experience integrating AI capabilities into customer-facing or enterprise applications (preferred).
  • Experience working in Agile development environments (preferred).
  • AWS certification (preferred).

Benefits

  • Base compensation range of $120,000 to $155,000 plus benefits.
  • Compensation decisions informed by market data and prior experience, relevant skills, education, training, certifications, and other job-related qualifications.
  • Equal opportunity employer with accommodations available during the application or recruiting process.

Interested in this position?

Apply directly on the company website

Apply Now

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