Senior ML Operations Architect

Monogram Health; United States; On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k with employer match

Flexible vacation time

Job summary

Monogram Health is looking for a Staff Engineer in Machine Learning Operations to design and scale ML infrastructure. This role requires an experienced engineer to enhance MLOps practices, mentor teams, and ensure reliable systems for healthcare data.

Applicants should have a decade of software engineering experience, with significant focus on ML and MLOps, along with proficiency in key tools and cloud platforms. Monogram Health offers comprehensive benefits including medical insurance and a 401k plan.

Qualifications

• Ten years in software engineering with five years in ML infrastructure.
• Expertise with MLOps tooling and containerization.
• Proven ability to mentor senior engineers.

Responsibilities

• Architect and maintain ML infrastructure for Monogram.
• Drive MLOps strategy and mentor teams.
• Build fault-tolerant systems meeting healthcare standards.

Skills

MLOps tooling (MLflow, Kubeflow)

Containerization (Docker, Kubernetes)

Data engineering skills (SQL, Spark)

CI/CD systems

Healthcare data standards (FHIR, HL7)

Education

Bachelor’s degree in computer science, engineering, or related field

Master’s degree preferred

Tools

Terraform

Azure

Databricks

Job description

Monogram Health is looking for a Staff Engineer in Machine Learning Operations to design and scale ML infrastructure. This role requires an experienced engineer to enhance MLOps practices, mentor teams, and ensure reliable systems for healthcare data.

Applicants should have a decade of software engineering experience, with significant focus on ML and MLOps, along with proficiency in key tools and cloud platforms. Monogram Health offers comprehensive benefits including medical insurance and a 401k plan.