Senior ML Consultant with Google Cloud Platform Experience
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Role details
Tech stack
Requirements
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, 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 Google Cloud Platform. 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.
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