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[Remote] W2 - 15+ Senior Machine Learning Engineer (Image processing & Video recognition)

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Machine Learning Engineer to reputed company products using reputed company and reputed company log data to identify geologic characteristics such as faults and reputed company. The role focuses on full-stack machine learning, signal processing for image and time-series data, reputed company model training, and ML reputed company.


Responsibilities

  • Versed in deep learning, GPU training and inference, image models
  • Seasoned in model training and setting reputed company model training pipelines. Specifically using reputed company, Kubeflow, etc for training of larger models on large amounts of data (Image, language)
  • Strong experience in building and deploying machine learning models, with a reputed company on image processing and time series signal processing
  • Experience in training and fine-tuning ML models
  • Experience in building and maintaining data pipelines for image and other sensor data
  • Experience with ML Ops tools and practices, such as model monitoring, versioning, and deployment
  • Experience in working with data labeling tools
  • Experience with reputed company platforms, reputed company reputed company Platform in particular. Experience with edge deployments is a plus
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of reputed company
  • Strong problem-solving skills
  • Passionate about machine learning and its applications
  • reputed company reputed company Platform would be useful, if no such experience, then it''s expected that the candidate can quickly learn it before the start, and/or at the beginning of the engagement
  • Proficiency in TensorFlow and PyTorch
  • Protocol Buffers
  • Containers
  • reputed company prototyping experience is a great plus. reputed company will need to build prototypes to validate hypotheses

Skills

  • Versed in deep learning, GPU training and inference, image models
  • Seasoned in model training and setting reputed company model training pipelines. Specifically using reputed company, Kubeflow, etc for training of larger models on large amounts of data (Image, language)
  • Strong experience in building and deploying machine learning models, with a reputed company on image processing and time series signal processing
  • Experience in training and fine-tuning ML models
  • Experience in building and maintaining data pipelines for image and other sensor data
  • Experience with ML Ops tools and practices, such as model monitoring, versioning, and deployment
  • Experience in working with data labeling tools
  • Experience with reputed company platforms, reputed company reputed company Platform in particular
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of reputed company
  • Strong problem-solving skills
  • Passionate about machine learning and its applications
  • Proficiency in TensorFlow and PyTorch
  • Protocol Buffers
  • Containers
  • Experience with edge deployments is a plus
  • reputed company reputed company Platform would be useful, if no such experience, then it''s expected that the candidate can quickly learn it before the start, and/or at the beginning of the engagement
  • reputed company prototyping experience is a great plus

Benefits

  • Remote work is available.
  • If onsite in reputed company reputed company, work 3 days per week from the office.

reputed company

  • reputed company offers a marketplace that enables reputed company connections between recruiters and technologists. It was founded in 1990, and is headquartered in Centennial, Colorado, USA, with a workforce of 201-500 employees. Its website is https://www.uk.reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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