🇮🇳 India | Remote Opportunity 🚀 MLOps Engineers — Work on Real GenAI Infrastructure 🤖🔥 If you’re experienced with JAX, PyTorch, Triton, or Pallas and you’ve worked on real ML infrastructure at scale… this role is on another level. This is not basic MLOps. This is deep AI systems engineering with one of the most advanced GenAI environments out there. 💼 Role: MLOps Engineer (JAX, PyTorch, Pallas/Triton) 💰 Rate: $35–$45/hour 🕒 40 hrs/week | W2 | Fully Remote 🔥 What you’ll be doing: Work on LLM training infrastructure & ML systems optimization Design and evaluate advanced MLOps tasks Improve distributed training pipelines and framework-level performance Contribute to kernel-level optimization using Triton/Pallas 💡 This role is for engineers who understand what happens under the hood of AI systems. 🎯 What they’re looking for: 2+ years in MLOps / ML Systems Engineering Production experience with JAX and/or PyTorch Experience with Triton or Pallas GPU kernels Strong understanding of training infrastructure & distributed systems Ability to explain technical decisions clearly 👉 Apply here: [https://t.mercor.com/VVrbc] #MLOps #MachineLearning #AI #LLM #PyTorch #JAX #RemoteJobs #IndiaJobs
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