AI/ML Engineer - Remote

About this role

## About the Role

Vida Health is seeking a \*\*Principal AI/ML Engineering Lead\*\* to help build and scale the data and AI/ML platform powering its healthcare technology.

Vida is rebuilding its data platform with a strong focus on \*\*patient data protection, data governance, secure data sharing, self-serve analytics, and production AI/ML capabilities\*\*. In this role, you will take a hands-on engineering approach across AI/ML, software, data, infrastructure, DevOps, and security while establishing scalable patterns for future platform development.

You will work closely with platform, security, IT, and DevOps teams to build production-grade systems that enable AI/ML capabilities while maintaining strong controls around \*\*protected health information (PHI)\*\* and regulated healthcare data.

## Key Responsibilities

### Data & Platform Engineering

\* Contribute across the platform, including:

\* Data ingestion

\* Data transformation

\* Canonical data models

\* Entity resolution

\* Event backbone

\* Configuration as code

\* API and serving layers

\* Help build scalable and reliable infrastructure for data and AI/ML workloads.

### DevOps & Reliability

\* Strengthen \*\*DevOps and production reliability\*\* across the platform.

\* Build and maintain \*\*CI/CD pipelines\*\* and infrastructure as code.

\* Support environment management and deployment workflows.

\* Implement production observability across \*\*metrics, logs, traces, and service-level objectives (SLOs)\*\*.

\* Apply containerization and Kubernetes-based infrastructure where appropriate.

### Security & Healthcare Data Protection

\* Partner with \*\*Security and IT teams\*\* on platform security and data protection.

\* Support data classification and access-control enforcement.

\* Implement secure secrets and key management practices.

\* Maintain controls aligned with \*\*HIPAA and HITRUST\*\* requirements.

\* Ensure protected health information remains within controlled boundaries...