Impress

Machine Learning Engineer

• Own the ML platform
• Design, build, and maintain ML serving and deployment infrastructure across AWS and GCP
• Manage multi-environment cloud infrastructure for dev, prelive, and live environments using Terraform and Terragrunt
• Deploy and operate ML workloads on Kubernetes, including health checks, secrets management, and observability
• Optimize GPU inference through profiling, batching, model conversion, and Triton Server
• Improve cost efficiency through right-sizing compute, scale-to-zero GPU strategies, monthly infrastructure spend ownership, and cost-per-inference metrics
• Lead the engineering team by defining ownership areas, developing engineers technically, and setting platform direction
• Bridge ML and product by working with researchers, product managers, and clinical teams to take models from prototype to production

Explore Lead MLOps Engineer at Impress. Review requirements and application details.

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Lead MLOps Engineer