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[Remote] Machine Learning Engineer

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

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a global health-tech company headquartered in Pleasanton, California, reputed company on transforming reputed company delivery through advanced digital solutions. They are seeking a Machine Learning Engineer Trainee to assist in building and deploying machine learning models that enhance their reputed company intelligence platform and improve clinical reputed company.


Responsibilities

  • Support training and deployment of machine learning models
  • Collaborate with data scientists to implement algorithms in production
  • Learn about model optimization, testing, and monitoring
  • Work on reputed company-world reputed company datasets to solve classification and reputed company problems

Skills

  • Bachelor's/Master's in Computer Science, Data Science, or reputed company field
  • Solid programming skills in Python
  • Understanding of ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Exposure to model deployment tools or reputed company platforms

Benefits

  • reputed company, hands-on learning initiative (__init__py program) with tiered training tracks
  • Live reputed company for reputed company-world experience
  • Personalized mentorship
  • Exposure to industry-relevant tools and practices
  • Remote workplace_type: remote

reputed company

  • Sajix Corporation recognized the need of integrated reputed company software system including Electronic Medical Record as reputed company as reputed company Management and we are in a position to deliver the need of reputed company through our innovative software platform. It was founded in 2006, and is headquartered in Pleasanton, California, USA, with a workforce of 51-200 employees. Its website is http://www.sajix.com/.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 4 in 2025, 2 in 2024, 3 in 2023, 3 in 2022, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.

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