Pay Rate Range: $50 - 52/hr.
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.
Must Have Skills
ML inference, deployment, and quality testing
Machine Learning frameworks (TensorFlow, PyTorch, JAX or similar)
Google Cloud Platform
Nice to have skills
Java or JVMbased systems
Experience in hybrid cloudonprem environments
PLEASE NOTE Talent should have strong working experience in the above mentioned technology areas.
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Evaluate and benchmark new ML inference frameworks to guide production decisions
Design and execute benchmarking, performance testing, and quality testing on ML models
Deploy models to GCP and integrate them into production applications and Javabased streaming pipelines