Senior ML Engineer - Production Deployment & Benchmarking
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), SRE/Site Reliability
Job Description & How to Apply Below
Cloud Analytics Technologies, LLC is seeking a Machine Learning Engineer to own the end-to-end ML model lifecycle from post-training through production. You will benchmark, deploy, monitor, and integrate models into live production applications in a fast-moving hybrid cloud environment.
Responsibilities include evaluating new ML inference frameworks, deploying models to GCP with Java-based pipelines, and owning end-to-end deployment automation while collaborating with ML researchers and platform
We are looking to fill the Senior ML Engineer
- Production Deployment & Benchmarking position at Cloud Analytics Technologies, LLC in San Jose, CA, United States.
Consider building your career as a Senior ML Engineer
- Production Deployment & Benchmarking at Cloud Analytics Technologies, LLC.
The Senior ML Engineer
- Production Deployment & Benchmarking position in the IT & Technology field is open for applications.
Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).