Senior MLOps Engineer

JOB SUMMARY We are building the MLOps backbone for enterprise generative AI, supporting both air-gapped private GPU clusters (such as for sensitive financial/healthcare data) and hyperscale cloud platforms (such as AWS SageMaker, Google Vertex AI, Azure ML). Expected to architect infrastructure that handles billions of inference tokens monthly across hybrid environments—such as optimizing Llama 3/Mistral deployments on private A100 clusters while orchestrating GPT-4/Claude fine-tuning pipelines…