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