🛠 Tech Stack

💼 About This Role

You'll build and productionize reusable MLOps components enabling scalable ML workflows in a healthcare setting. You'll establish strong ML lifecycle practices including experiment tracking and model management. You'll work with high-volume sensor data to deliver reliable production inference.

🎯 What You'll Do

• Build reusable MLOps components for scalable ML workflows.
• Own and maintain ML systems and platform services.
• Design production inference workflows for reliable outputs.
• Collaborate with cross-functional teams on ML adoption.

📋 Requirements

• Python programming with ML concepts understanding.
• End-to-end production ML systems experience.
• Experience with PyTorch, Kubernetes, Terraform.
• Ability to operate in complex healthcare ecosystems.

🎁 Benefits & Perks

• 🏖️ Remote-first flexible work
• 🏢 Office access in select locations
• 🤝 Cross-functional collaboration

📨 Hiring Process

Candidates progress from application and structured screening through interviews to a formal offer and pre-employment checks.