Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Jupyter
Nvidia Global Catalog (NGC)
MLFlow
RunAI
Docker
Slurm
Python
Conda
MLOps
Job Details
Title - MLOps Engineer
Duration - Long term
Location - Remote (Prefers EST and CST time zone's only)
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.
Duration - Long term
Location - Remote (Prefers EST and CST time zone's only)
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.
Excellent communication, collaboration, and documentation skills.
Proven track record of deploying and maintaining machine learning models in production.
Ability to anticipate and manage infrastructure risks and issues with full transparency.
Confident, solution-oriented independent worker.
Must work independently while managing different sets of business, technology, and vendor stakeholders.
Proven problem-solving and organizational skills.
Experience with CI/CD pipelines and automation tools.
Top 3 skills: These are the TOP skills they are looking for they need some, not all, just a good mix is fine:
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
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