Senior Machine Learning Systems Engineer (US)

📋 Description Collaborate with product and engineering teams to translate ML needs into reliable, reusable Design and build scalable data and ML pipelines that support model training, evaluation Develop and maintain ML Ops tooling and workflows, including CI/CD for models, model registry Ensure the reliability, observability, and performance of ML systems in production through Implement comprehensive security mechanisms for the ML platform, including authentication Securely integrate the platform with existing systems, APIs, and data sources with secure 🎯 Requirements Expert level in Python and Java Strong software engineering fundamentals Experience designing and building ML platforms and MLOps workflows Familiarity with MLflow, Kubeflow, Ray, and model-serving frameworks Experience with cloud platforms (Primarily Azure, secondarily AWS and GCP) Experience with Docker and Kubernetes 🎁 Benefits Benefits starting from Day 1 Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support