Sr MLOps Engineer

CompScience is looking for someone to design, build, and own the end-to-end MLOps infrastructure on AWS, with a heavy emphasis on scalable data engineering and reliable, cost-efficient ML systems. You will implement and manage high-throughput, event-driven ML workflows (S3, Lambda, SQS, Step Functions, Batch) to support both data-centric pipelines and model execution. You will develop and maintain robust CI/CD pipelines for model deployment and promotion, enforcing best practices for Git, semantic versioning, and multi-branch release strategies. You will also orchestrate complex data pipelines for the ingestion, processing, and updating of embeddings in vector databases. To evaluate modern model serving tools (e.g., BentoML).