MLOps Expert - Fully Remote | Upto $140/hr

Role Overview

Mercor is hiring an MLOps Engineer (Expert) for a fully remote contract role (~40 hours/week). You will guide research and engineering teams on improving AI model performance through advanced MLOps, training infrastructure, and ML systems expertise.

Responsibilities

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

Qualifications

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 or optimizing custom GPU kernels using Pallas (JAX) or Triton.
• Demonstrable career progression.
• Reliable availability for at least 40 hours/week on weekdays.
• Strong written communication skills; ability to explain complex technical decisions clearly.

Contract & Location

• Type: Contract
• Commitment: 40 hours/week
• Location: Remote (United States)