Benchmarking, Cloud Computing, Distributed Computing, GCP (Good Clinical Practices), Identify Issues, JAX (Java API for XML), Java, System Integration (SI)
LOCATION
Richardson, TX
POSTED
8 days ago
Below find the Job Description:
Talent should have 7+ years of experience with a strong foundation in ML inference, deployment, and quality validation. Should be capable of end-to-end ownership from model deployment to user impact, with the ability to quickly adapt to new technologies.
Should have strong expertise in ML benchmarking and collaboration, along with hands-on experience deploying models on cloud platforms, preferably GCP. Familiarity with Java/JVM-based systems for model integration, streaming data architectures, and hybrid (on-prem and cloud) environments is essential.
Must possess solid system design and distributed systems knowledge for troubleshooting, and hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
Please note Talent should have strong working experience in the above mentioned technology areas.
Suggested vendor rate : 75 /Hr. USD., Project Code :Yahoo Google PSF code for Mail BE