Senior AI/ML Engineer

Turn data science models for glucose forecasting, pattern detection, and personalization into reliable, scalable cloud services. Build real-time and batch inference systems and feature pipelines using sensor and user-context data, and collaborate with data science, platform, and product teams.

Responsibilities

• Productionize time-series and personalization models into scalable, monitored services.
• Refactor and optimize data science code for performance, reliability, and maintainability.
• Build batch and real-time inference services to meet latency, cost, and availability targets.
• Expose model outputs as reliable tools and signals for agentic AI systems.
• Build and maintain feature pipelines using sensor, meal, activity, and user-context data.
• Address sensor data quality challenges and contribute to design reviews, verification, and technical documentation.

Required Skills

• Python
• Py
• Torch
• Tensor
• Flowscikit-learn
• Time-series modeling
• Forecasting
• Cloud platforms
• Containerization
• ML pipelines
• CI/CD