Machine Learning Engineer

Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we’re redefining what it means to age confidently and independently.

We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose.

About the Role

Medical Guardian is building a next generation Intelligent Orchestration Engine (IOE), a real-time AI platform that powers proactive engagement, personalization, emergency response intelligence, and member safety.

We are seeking a highly capable Machine Learning Engineer to design, build, and operationalize ML models and pipelines that drive intelligent decisioning across the MG ecosystem. This role will collaborate with Data Science, Engineering, Product, and our AI partners to bring predictive and generative capabilities into production at scale.

You will play a core engineering role in shaping the intelligence layer behind Nexus, Engage360, caregiver insights, emergency workflows, and member engagement.

Key Responsibilities

1. Model Development & ML Engineering

• Build, train, and optimize models for predictions such as churn, fall risk signals, emergency intent classification, and behavioral patterns.
• Implement NLP, embeddings, and LLM-based workflows for contextual understanding of transcripts, messages, and voice interactions.
• Develop real-time scoring services integrated with Azure Event Hub, Service Bus, and IOE rule engines.
• Design reusable, modular components for feature engineering, experimentation, and inference.

2. ML Ops & Deployment

3. Data Engineering for ML

4. RealcTime Orchestration & Automation

5. Collaboration & Strategy

Required Qualifications

Preferred Skills

What You’ll Impact

This role directly affects :

You will help build the AI brain of the company.