Senior Machine Learning Engineer, ML Ops
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models.
דרישות
- 5+ years of software engineering , including 3+ years of hands-on MLOps owning production ML systems on AWS with a data or ML platform (e.g., Snowflake ML, Databricks, SageMaker, Vertex AI).
- Hands-on model management: versioning, registries, automated evaluation, and promotion and rollback of models in production.
- Experience building CI/CD and pipelines for ML : automated training, validation, and deployment (e.g., Jenkins, GitHub Actions), with orchestration in Airflow or similar.
- Strong Python experience, including building and operating Python services (APIs or gateways) in production.
- Experience serving models in real time : low-latency inference, autoscaling, and reliable serving architectures.
- Strong SQL and data warehouse