What you'll do

Gridnaut Recruiting is hiring a remote MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling) contractor to support a leading AI lab. You will contribute domain expertise to model training, evaluation, and structured task review. Work is fully remote, hourly, and flexible.

Who we're looking for

Have 2+ years of hands-on professional experience in ML systems, ML infrastructure, model serving, or GPU/accelerator performance engineering.
Have practical experience in GPU kernels, performance profiling/trace analysis, debugging distributed workloads, or serving large language models at scale.
Have production experience with JAX and/or PyTorch; framework-level depth is a strong plus.
Be familiar with modern accelerators such as A100, H100, B200 or TPU and reason about throughput, latency and memory trade-offs.
Engage reliably for at least 40 hours per week during weekdays.
Have strong written communication and explain complex technical decisions clearly.

Compensation

Pay range is $90–$120/hr depending on experience and demonstrated skill. Strong contributors may be promoted based on task quality and throughput.

Commitment

Flexible part-time hours, fully remote. Hourly contractor engagement.