Discovered 17d ago

MLOps Engineer (JAX, PyTorch, Pallas/Triton) | Remote

Crossing Hurdles•Linkedin

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LocationIndia

Work Moderemote

Experience5+ yrs

Compensation~₹14–24 LPA

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Required Skills & Technology Stack

PyTorchdistributed systemsjax

About the Role

Work Snapshot Type: W2 Location: Remote Commitment: 40 hours per week Commission: $35-$45 per hour What You Ll Be Doing Design and evaluate complex MLOps and ML systems tasks across training infrastructure and distributed systems Develop structured solutions, evaluation rubrics, and optimization frameworks for training pipelines and kernel-level workloads Provide detailed written feedback on ML…

This role in context

PyTorch is one of the skills this role asks for. It appears in 1,099 active tech jobs in India (2% of those we track). This posting asks for 5+ years. 45% of PyTorch jobs that state experience ask for 5–8 years. 15% of PyTorch jobs are remote; this one is remote.

Based on active listings from the last 30 days. See the full PyTorch job data →