ML OPs Engineer

  • Mountain View, CA
  • Posted 7 hours ago | Updated 7 hours ago

Overview

On Site
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Python
Docker
ML Ops
REST Microservices. Flask or FastAPI
ML engineering

Job Details

Tranzeal is an industry leading global Business Transformation Service Provider offering specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Our Consulting Services are dedicated to helping our clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal s deep industry experience makes us the partner of choice for a growing number of Fortune 1000 companies, midsize enterprises and small businesses worldwide.

We are currently looking for "ML Engineer' to support one of our clients with the following skills:

ML Engineer

Contract

Mountain View, CA (Onsite)

Skillset:

Python, Docker, ML Ops, and ML Engineering (mandatory). REST Microservices. Flask or FastAPI.

2+ years of experience maintaining legacy codebases

Familiarity with model lifecycle management and production inference environments.

Intermediate knowledge of ML model deployment and lifecycle management alongside standard python ML Packages

Working knowledge of logging/monitoring tools (Splunk, Wavefront).

Ability to collaborate cross-functionally

Scope of Work:

Maintain existing models in e2e and production and fix Security Defects and P0/1 bugs.

Perform debugging and input/output validation via ML Platform tooling and Splunk (per In-Season Support guidelines).

Support DevPortal lifecycle updates

Collaborate with the Horizon AI and C3 team to ensure smooth upstream/on/offboarding (IKS AIR/MSaaS dependencies).

Assist with model deployment and package upgrades and asset modernization (DevPortal + repo cleanup)

Document the RTB processes, including dependencies and replacement references for each model.

Assist with model orchestration maintenance and service upgrades (DevPortal + repo cleanup + aws resources cleanup).

The national base pay range below is a good-faith estimate of what our client may pay for new hires. Actual pay may vary based on Client's assessment of the candidates knowledge, skills, abilities (KSAs), related experience, education, certifications and ability to meet required minimum job qualifications. Other factors impacting pay include prevailing wages in the work location and internal equity. $120,000 - $130,000

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.