ML Ops Engineer
To apply, save or open the job page, sign in. Sign-up is by invitation only for now, and after signing in you come straight back to this job. No invite? Ask to join
Summary
Island is shaping the future of work - creating an enterprise workspace for both knowledge workers and agents - where access, security, and AI-powered productivity are built in.
Requirements
- Hands-on experience with AWS SageMaker (endpoints, training jobs or pipelines).
- Experience with ML services on other clouds (Azure ML, Vertex AI or similar).
- Experience serving LLMs (vLLM, TGI, Triton or similar) and running GPU instances.
- Experience with model optimization (ONNX, quantization).
- Experience with Kubernetes.
- Experience with ML workflow tools (MLflow, SageMaker Pipelines, Airflow or similar).