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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
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Senior ML Ops Engineer
Columbus, Ohio, United States
$148k-$222k/yr HybridFull Time
Senior ML Ops engineer with strong AWS, SageMaker, Python/Java, Terraform, Docker/Kubernetes; experience with CI/CD, observability, autoscaling, and multi-region deployments; knowledge of ML lifecycle, model serving, and AI tooling.
AWS, SageMaker, Python, Java, Bash, Terraform, Docker, Kubernetes, CI/CD, Jenkins, GitHub Actions, Grafana, CloudWatch, OpenTelemetry, MLflow, SageMaker, Triton, ONNX, PyTorch