7-10+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering, or similar roles Strong understanding of ML ecosystems, including models, use cases, and tooling Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments Hands-on knowledge of frameworks like PyTorch or JAX Excellent verbal and written communication skills