We are sharing a specialised full-time contingent opportunity for professionals experienced in PyTorch, ML infrastructure, MLOps, distributed training systems, model training workflows, kernel-level optimization, and structured technical evaluation.
This role supports current and upcoming technical opportunities focused on AI model training and evaluation, ML systems task design, infrastructure reasoning assessment, and high-quality technical feedback. Selected professionals will design challenging ML infrastructure tasks, write accurate solutions, evaluate technical outputs, and develop rubrics for assessing training pipeline design, distributed systems reasoning, and framework-level optimization.
Key Responsibilities
Professionals in this role may contribute to:
ML Infrastructure Task Design