ML Ops Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Ops Engineer on a 6-month contract-to-hire basis, 100% remote, requiring strong skills in stakeholder collaboration, ML Ops tools, Docker, Python, and cloud experience (Azure or GCP) is highly desired. Pay is experience-dependent.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
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๐Ÿ—“๏ธ - Date discovered
June 5, 2025
๐Ÿ•’ - Project duration
More than 6 months
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๐Ÿ๏ธ - Location type
Remote
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๐Ÿ“„ - Contract type
Unknown
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๐Ÿ”’ - Security clearance
Unknown
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๐Ÿ“ - Location detailed
United States
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๐Ÿง  - Skills detailed
#PyTorch #ML Ops (Machine Learning Operations) #Azure #AI (Artificial Intelligence) #Kubernetes #GCP (Google Cloud Platform) #Docker #MLflow #Python #Cloud #Jupyter #ML (Machine Learning)
Role description
๐—ก๐—ผ๐˜๐—ฒ: ๐—ง๐—ต๐—ถ๐˜€ ๐—ถ๐˜€ ๐—ฎ ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ฎ๐—ฐ๐˜-๐˜๐—ผ-๐—›๐—ถ๐—ฟ๐—ฒ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ผ๐—ฒ๐˜€ ๐—ป๐—ผ๐˜ ๐—ผ๐—ณ๐—ณ๐—ฒ๐—ฟ ๐˜ƒ๐—ถ๐˜€๐—ฎ ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ. ๐—ฃ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ ๐—ฑ๐—ผ ๐—ป๐—ผ๐˜ ๐—ฎ๐—ฝ๐—ฝ๐—น๐˜† ๐—ถ๐—ณ ๐˜†๐—ผ๐˜‚ ๐—ฟ๐—ฒ๐—พ๐˜‚๐—ถ๐—ฟ๐—ฒ ๐˜ƒ๐—ถ๐˜€๐—ฎ ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ ๐—ป๐—ผ๐˜„ ๐—ผ๐—ฟ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ. ๐Ÿš€ย ML Ops Engineer ๐Ÿ’กย 6 Months (Contract to Hire) ๐Ÿ“ย ย 100% Remote - ET Shift ๐Ÿ’ฐ Depending on experience level. Top Skills (Good mix required, not all): โ€ข Stakeholder collaboration (technical, product, business, vendors) โ€ข ML Ops/AI tools: Jupyter, MLFlow, Nvidia Global Catalog (NGC), RunAI โ€ข Docker, Slurm, Python, Conda Highly Desired: โ€ข Cloud (Azure or GCP) โ€ข Kubernetes โ€ข PyTorch, torchrun, TorchX