Sr. ML Engineer (MLOps)

About the role

This role develops the platform that delivers AI-powered mental health products at scale. The position focuses on production infrastructure for machine learning and generative AI within a healthcare environment. You will own the systems that transform data into reliable clinical insights. The work involves building the backbone that allows intelligent applications to function in strict regulatory settings. You will ensure that models perform consistently and securely from development to deployment. Collaboration with data scientists and product teams is central to translating algorithms into user-facing features. Your contributions will directly impact the reliability and scalability of mental health technology.

Key facts

What you'll do

Production systems execute machine learning workflows, and tooling is built to support the ML and generative AI product suite.

Model evaluation metrics and testing frameworks are implemented to validate model performance against healthcare standards.

The deployment and management of applications power components of the AI/ML software development lifecycle in a reliable manner.

Relational and low-latency databases store and serve data with efficient access patterns for clinical and operational workloads.

Daily coding delivers new capabilities and maintains the integrity of the platform that supports sensitive healthcare data.

Requirements

6+ years of experience deploying ML/AI solutions in production environments is mandatory for this role.

Ability to write high-quality code in Python is required to implement services and platform components.

Experience building RESTful APIs is required to integrate systems and expose functionality.

Experience defining and using Protobuf messages is required for interface contracts and data serialization.

Experience working with Docker and deploying applications to Kubernetes is required for containerized execution.

Experience with relational and low-latency databases is required to manage structured and high-performance data stores.

Experience working with Celery is required to orchestrate asynchronous tasks in production.

A strong desire to work on ML/AI based products is required to align with the company's product vision.

A desire to learn new technologies quickly is required to keep pace with evolving tools and workflows.

A love of building systems from scratch is required to create reliable infrastructure from foundational components.

A thoughtful approach to balancing quality and deadlines in fast-paced settings is required to maintain velocity and stability.

Excellent communication skills with a talent for building consensus and alignment are required to collaborate across functions.

Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward are required.

Experience building RAG (retrieval-augmented generation) based solutions is preferred to support advanced use cases.

Experience setting up and maintaining vector databases is preferred for managing embeddings and similarity search.

Experience writing production code in Java/Kotlin is preferred to extend backend services where needed.

Experience building solutions on cloud infrastructure, particularly AWS, is preferred for deployment and scaling.

Experience working with highly sensitive data in a healthcare environment is preferred to ensure compliance and security.

Practical notes

The role is based in the United States and requires authorization to work in the country.

Good to know

Machine learning operations bridge data science and production software.

Python is the primary language for implementing services and tooling.

Container orchestration with Kubernetes is central to deployment workflows.

Generative AI products rely on retrieval-augmented generation and vector databases.

Healthcare data environments require strict attention to security and compliance.

Streaming task execution relies on asynchronous job queues.

Protobuf defines structured messages for efficient network communication.

About Lyra Health

Lyra Health is hiring for Sr. ML Engineer (MLOps). The listing location is United States.

This Sr. ML Engineer (MLOps) opening is posted for United States.