Work Location: BangaloreWork Mode: HybridExperience: 5+ YearsJob Description:Build, deploy, and scale machine learning platforms and distributed ML workloads.Ray.io is a key platform, but candidates do not need prior Ray experience if fundamentals are strong.Core Requirements (Must-Have):Strong experience as an ML Platform EngineerHands-on experience with:TensorFlowPyTorchLLMs / generative AI modelsProven ability to:Build ML pipelinesDeploy models into productionRun ML workloads at scaleStrong Kubernetes knowledge (mandatory)Solid understanding of distributed systems and cloud-native architectureRay.io Expectations:Prior Ray experience is a plus, not a blockerCandidate should be capable of learning Ray quickly (~1 month ramp-up)Focus is on using Ray for:Distributed trainingParallel processingScalable ML workloads
Job Title
Machine Learning Engineer