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

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
ML Ops & Deployment
Build automated training, retraining, and evaluation pipelines in Databricks / Azure ML / Python
Develop CI/CD workflows for model deployment using Azure DevOps / GitHub Actions
Create scalable inference endpoints using Azure Functions, Container Apps, or APIM
Implement monitoring for model drift, data quality, and performance degradation
Data Engineering for ML
Work closely with Data Engineering to design robust data pipelines
Build feature stores, feature pipelines, and data transformations optimized for machine learning
Ensure traceability, reproducibility, and well documented data assets
RealcTime Orchestration & Automation
Integrate ML outputs into real-time orchestration flows
Contribute to the IOE decisionctree, scoring logic, and step orchestration
Build ML-driven triggers for automated campaigns, safety alerts, and proactive outreach
Collaboration & Strategy
Work with the Director of Data Science to define the ML roadmap for IOE
Partner with Product for personalization, engagement, and predictive feature development
Coordinate with Engineering to deliver API endpoints, event triggers, and user facing functionality
Contribute to documentation, experimentation logs, governance, and compliance

Required Qualifications

2+ years of experience in Machine Learning, AI Engineering, or similar roles
Strong proficiency in Python, ML frameworks (scikit-learn, PyTorch, TensorFlow), and data libraries
Hands-on experience with cloud ML workflows (Azure preferred)
Strong engineering fundamentals: APIs, containers, CI/CD, and distributed systems
Experience building and deploying models into production (batch + real-time)
Understanding of NLP, embeddings, and LLM-based workflows
Candidates must be authorized to work in the United States without current or future need for visa sponsorship
Must have the ability to work from our Philadelphia office on Tuesdays and Wednesdays

Preferred Skills

Experience with Azure ML, Databricks, Delta Lake, Event Hub, Function Apps
Experience integrating ML with automation systems (n8n, Logic Apps, Make.com)
Strong background in data quality, monitoring, and model governance
Experience working with healthcare, IoT, or emergency response data
Knowledge of prompt engineering, vector databases, or agentic AI workflows

What You'll Impact

This role directly affects:

Proactive emergency response
Personalized care pathways
Member safety predictions
Engagement effectiveness
Automated decision making
The intelligence behind the future of Medical Guardian's platform

You will help build the AI brain of the company.

Benefits

Health Care Plan (Medical, Dental & Vision)
Paid Time Off (Vacation, Sick Time Off & Holidays)
Company Paid Short Term Disability and Life Insurance
Retirement Plan (401k) with Company Match

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