Staff / Principal ML Ops Engineer - Chicago - PRAGMATIKE

    PRAGMATIKE
    PRAGMATIKE Chicago

    9 hours ago

    Full time
    Description

    Staff / Principal ML Ops Engineer

    This is a high-impact, architecture-defining role where you'll work across the entire model lifecycle: training, evaluation, deployment, observability, and continuous optimization.

    • Architect and build end-to-end ML ops pipeline including training fine-tuning evaluation rollout monitoring optimising compute usage distributed systems Kubernetes autoscaling caching GPU allocation checkpointing workflows leading implementation observability for ml systems monitor drift performance throughput reliability cost building automated workflows dataset curation labeling feature pipelines evaluation ci cd m models collaborating researchers productionize models accelerate training inference pipelines establishing mlops best practices internal standards cross-team tooling mentoring engineers influencing architectural direction ai platform what were looking deep hands-on experience designing operating production ml systems at scale strong background in ml ops distributed systems cloud infrastructure aws gcp azure proficiency python familiarity typescript go platform integration expertise frameworks pytorch transformers vllm llmafame megatron lm cuda gpu acceleration practical understanding strong experience containerization orchestration docker kubernetes helm autoscaling deep understanding of ml lifecycle workflows.

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