MLOps Expert - Fully Remote | Upto $140/hr

Role Overview

MLOps Engineer (Expert) — Contract

• Fully remote, 40 hours/week (weekdays)
• Compensation: $90–$140/hour
• Works with research and engineering teams on improving AI model performance and MLOps capabilities

Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance across:
  • MLOps
  • Training infrastructure
  • ML framework-level topics
• Design challenging, domain-relevant tasks and produce accurate, well-structured solutions to MLOps/ML systems problems
• Evaluate MLOps tasks and solutions and provide clear written technical feedback
• Create guidelines, rubrics, and evaluation frameworks for assessing:
  • Training pipeline design
  • Distributed systems reasoning
  • Kernel-level optimization
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data

Requirements (Must-Have)

• 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a top-tier organization
• Hands-on production experience with JAX and/or PyTorch at scale
• Experience writing/optimizing custom GPU kernels using:
  • Pallas (JAX) and/or Triton
• Demonstrable career progression
• Availability for at least 40 hours/week during weekdays
• Strong written communication; able to explain complex technical decisions clearly

Nice-to-Haves

• Not explicitly stated

Hiring Process

• Complete an application (20–30 minutes)
• Submit resume and take an AI interview