AI/ML Engineer - 100% Remote
Company: Torentify
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-25
About this role
About the Company
Vida is a virtual, personalized obesity care provider that helps people manage obesity and related conditions, including diabetes, high blood pressure, anxiety, and depression. Its care team includes obesity medicine-certified physicians, registered dietitians, expert coaches, and licensed therapists who take a whole-person approach to improving health.
By combining technology with evidence-based care, Vida works with Fortune 100 companies, national health insurers, and large healthcare providers to make personalized healthcare more accessible.
About the Role
Vida is rebuilding its data platform to strengthen patient data protection, improve data governance, and support self-service analytics. The company is seeking an experienced AI/ML Platform Engineer who can contribute across software engineering, data infrastructure, DevOps, security, and machine learning systems.
This hands-on role will help establish the technical foundation for production AI/ML capabilities, including model serving, data pipelines, lifecycle management, and large language model (LLM) integration. You will work closely with platform, security, IT, and DevOps teams to build reliable systems that support innovation while protecting sensitive patient information.
Key Responsibilities
- Contribute to data ingestion, transformation, canonical data modeling, entity resolution, event infrastructure, configuration as code, and API and serving layers
- Improve DevOps practices through CI/CD, infrastructure as code, environment management, and production observability
- Strengthen monitoring across metrics, logs, traces, and service-level objectives
- Partner with Security and IT to implement data classification, access controls, secrets management, and key management
- Develop the foundation for AI/ML infrastructure, including model serving, inference gateways, feature pipelines, and training data pipelines
- Support model lifecycle management, including model regi...