Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (MLOps Engineer) with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include experience with ML Ops tools, Docker, Python, and cloud platforms like Azure or Google Cloud.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
June 6, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #Azure #Python #Kubernetes #Data Science #MLflow #Cloud #AI (Artificial Intelligence) #Jupyter #ML Ops (Machine Learning Operations) #PyTorch #Docker
Role description
MLOps Engineer
We are looking for a highly skilled ML Ops Engineer to join our team. The ML Ops Engineer will be responsible for developing, deploying, and maintaining machine learning models and infrastructure. This role requires collaboration with various teams, including data science, engineering, and operations, to support and enhance our machine learning capabilities.
Abilities/Skill and Other Requirements – Exceptional Technical Skills are assumed
• TOP: Self-starter with a ‘learn and apply’ attitude in an intense, fast-paced environment.
• TOP: Experience working with leading stakeholder groups, including technical, product, business, and vendor teams.
• TOP: Experience with ML Ops/AI tools and frameworks such as: Jupyter, Nvidia Global Catalog (NGC), MLFlow, and RunAI
• TOP: Experience with Docker, Slurm, Python, Conda
• Highly Desired: Experience with cloud platforms such as Azure, or Google Cloud.
• Highly Desired: Kubernetes
• Highly Desired: PyTorch/torchrun/TorchX
• 3rd-party partner management experience.
MLOps Engineer
We are looking for a highly skilled ML Ops Engineer to join our team. The ML Ops Engineer will be responsible for developing, deploying, and maintaining machine learning models and infrastructure. This role requires collaboration with various teams, including data science, engineering, and operations, to support and enhance our machine learning capabilities.
Abilities/Skill and Other Requirements – Exceptional Technical Skills are assumed
• TOP: Self-starter with a ‘learn and apply’ attitude in an intense, fast-paced environment.
• TOP: Experience working with leading stakeholder groups, including technical, product, business, and vendor teams.
• TOP: Experience with ML Ops/AI tools and frameworks such as: Jupyter, Nvidia Global Catalog (NGC), MLFlow, and RunAI
• TOP: Experience with Docker, Slurm, Python, Conda
• Highly Desired: Experience with cloud platforms such as Azure, or Google Cloud.
• Highly Desired: Kubernetes
• Highly Desired: PyTorch/torchrun/TorchX
• 3rd-party partner management experience.
