Fractal Analytics

MLOps Lead

New York, NY, US$140,000-$205,000Posted 1 day ago

Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing!

*We're committed to bringing passion and customer focus to the business.*

Senior MLOps Engineer

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal

Location: Remote (East Coast time zone)

Note: This position is not eligible for Immigration Sponsorship at this time.

ROLE SUMMARY

Building the machine learning production System (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.

RESPONSIBILITIES

Based out of US, Leader for MLOPs will be the key leader in the AI@Scale practice. The person will be responsible to architect and execute technology projects across client AI and Engineering engagements. S/He will be accountable for building a trusted relationship, at middle and senior management across lines.

Technical Leadership

* As the MLOps leader, S/he will support client projects, lead solution design, and contribute to the overall MLOps engineering using on-premise (open-source) or...

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