Senior ML Engineer (GenAI, AWS)

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Job Description, Responsibilities & Requirements

About the Position

We are seeking a Senior ML Engineer specializing in GenAI and AWS to join our team. Collaborate with our data and DevOps teams to innovate and deliver high-quality machine learning solutions.

Responsibilities

  • Technical Delivery (60%)
  • Collaboration and Contribution (25%)
  • Innovation and Growth (15%)

Requirements

  • Machine Learning Core
  • LLMs and Generative AI
  • Data and Programming
  • MLOps and Production
  • Cloud and Infrastructure
  • Infrastructure as Code: Experience with Terraform, CloudFormation, or similar.

Nice to Have

  • Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda)
  • Practical experience with deep learning models
  • Experience with taxonomies or ontologies
  • Practical experience with machine learning pipelines to orchestrate complicated workflows
  • Practical experience with Spark/Dask, Great Expectations

We Offer

  • Long-term B2B collaboration
  • Fully remote setup
  • A budget for your medical insurance
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship

Interview Stages

  • Recruitment Interview
  • Tech interview
  • HR Interview
  • HM Interview

About the Company

We are waiting for you to become a part of our team!

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Job Details

Company name:
Provectus
Location:
Location not specified
Work Mode:
Remote
Posted on TheJob:
Jul 1, 2026
Last checked:
Jul 1, 2026
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