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Role Overview:
- Own and shape critical ML infrastructure for a rapidly scaling AI platform.
- Design reliable, production-grade machine learning platforms supporting large-scale AI workloads.
- Build foundational systems from the ground up in a remote-first environment.
Key Responsibilities:
- Optimize GPU utilization, memory efficiency, and network performance.
- Develop scalable deployment pipelines using blue/green and canary rollouts.
- Implement observability solutions for inference latency, throughput, and cost.
Technical Requirements:
- 4+ years in MLOps, Platform Engineering, or SRE roles.
- Strong experience with vLLM, TGI, or Triton in production.
- Proficiency in Python, Terraform, and containerized environments.
Jobgether
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and share top candidate shortlists with employers, operating in a remote-first environment.