MLOps Engineer - AI Specialist

Job Description MLOps Engineer Expert Company: Mercor Location: New York, NY Remote Type: Contract Compensation: $90–$140/hour Commitment: 40 hours/week Data Management Role Responsibilities Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. Design challenging, domain-relevant tasks and write accurate, well-structured solutions to MLOps and ML systems problems. Evaluate MLOps tasks and solutions and provide clear, written technical feedback. Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. 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 recognized, 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. Ability to engage reliably for at least 40 hours/week during weekdays. Strong written communication skills and the ability to explain complex technical decisions clearly. Application Process Takes 20–30 mins to complete: Upload resume, AI interview based on your resume, submit form. Engineering & Technology Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com