ML Ops Engineer

Full Time
San Francisco, CA
Posted
Job description

Role: ML Ops Engineer

Location: San Francisco, CA(Remote)

Position: Full Time Role / C2H
Visa status: OPT EAD / H4 EAD /GC EAD/H1 B Transfer / USC / GC
Experience: 6 - 8+ years
Skills: Dask, Modin, Datatable, Ray, Horovod,Azure,Devops,Machine Learning

C2C please ignore

Requirement:

Experience in ML Ops is a must (or) it can be Dev ops + ML experience.

Experience of ML Ops in Azure ML is an added bonus.

Ideally, we are looking for a candidate with 7+ years of experience to lead a team.

Role can be remote to start with and can move to SFO when required.

Candidate should be able to lead, ideate & guide the team independently

Job Description:

Build machine learning solutions to production with global impact, helping businesses and consumers

Design and build A/B testing, and model competition so that we get insight and can leverage the latest and best ML Models for our products

Coach and Work with the ML Engineers in your team for Operationalizing of ML solutions, and make training/inference infrastructure decisions

Create tools, best practices, and automation to reduce time to market for ML solutions

Work on CI/CD activities related to ML projects

Take part in support activities for the designed solutions

Integrate models with internal systems

Collaborate with data engineers, data scientists, machine learning engineers etc in a multi-functional team to the delivery and maintenance of these solutions and business integration

Ensure high-quality solutions are delivered, through testing, applying engineering standards and actively working on model monitoring

Job Type: Full-time

Pay: $120,000.00 - $140,000.00 per year

Schedule:

  • 8 hour shift

Experience:

  • ML Engineer: 6 years (Preferred)

Work Location: Remote

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