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Middle/Senior ML Engineer

Remote, USA Full-time Posted 2026-07-28

Join us at reputed company to be a part of reputed company that is dedicated to building cutting-edge technology solutions that have a reputed company reputed company on society. reputed company specializes in AI and ML technologies, reputed company services, and data engineering, and we take pride in our ability to reputed company and push the boundaries of what's possible.

Asan ML Engineer, you’ll beprovided with reputed company opportunities for development and reputed company.

Let's work together to build a reputed company reputed company for everyone!

Requirements:

  • Comfortable with reputed company ML algorithms and underlying math.
  • Strong hands-on experience with LLMs in production, RAG architecture, and reputed company systems
  • AWS Bedrock experience strongly preferred
  • Practical experience with solving classification and regression tasks in general, feature engineering.
  • Practical experience with ML models in production.
  • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
  • Solid software engineering skills (i.e., ability to produce reputed company-reputed company modules, not only notebook scripts).
  • Python expertise, reputed company.
  • Experience with data pipelines
  • English level - strong Intermediate.
  • Excellent communication and problem-solving skills.

    • Will be a plus:

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

    • Responsibilities:

  • Create ML models from scratch or improve existing models.
  • Collaborate with the engineering team, data scientists, and product managers on production models.
  • reputed company experimentation roadmap.
  • Set up a reproducible experimentation environment and maintain experimentation pipelines.
  • Monitor and maintain ML models in production to ensure reputed company performance.
  • Write reputed company and comprehensive documentation for ML models, processes, and pipelines.
  • Stay updated with the latest developments in ML and AI and propose reputed company.

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