MLOps Engineer

\*US/UkJobs#CM#Remote#\* An AI Data Lab Operating Within The Bay Area Axis of California is Sourcing for \*MLOps Engineers\* \*Pay: $90-$120/hr\* \*Hiring Criteria\* \*2+ years of hands-on professional experience in ML systems, ML infrastructure, model serving, or GPU and accelerator performance engineering. This is a hands-on systems role rather than an applied modelling or data science one.\* \*Practical experience in at least one of the following, with more than one a strong plus: writing or optimizing custom GPU kernels (CUDA, Triton, Pallas); performance profiling and trace analysis (Kineto, torch.profiler, Nsight, XLA or JAX profiler); debugging distributed or accelerator-bound workloads; serving large language models at scale (vLLM, SGLang, TensorRT-LLM, Ray Serve, KV cache, paged attention, continuous batching).\* \*Working production experience with JAX and/or PyTorch. Framework-level depth is a strong plus: custom operators, distributed training (FSDP, DDP, DeepSpeed, Megatron), or compiler and graph-level work.\* \*Familiarity with modern accelerators such as A100, H100, B200 or TPU, and the ability to reason about throughput, latency and memory trade-offs.\* \*Shortlisting is Ongoing\* Pay: $90.00 - $120.00 per hour Experience: * MLOps: 2 years (Preferred) Work Location: Remote