Staff Engineer, Machine Learning Operations
Company: Monogram Health
Location: Brentwood
Posted on: April 1, 2026
|
|
|
Job Description:
Position: Staff Engineer, Machine Learning Operations The Staff
Engineer, Machine Learning Operations will architect, own, and
scale the machine learning infrastructure and deployment pipelines
that power Monogram's operational and clinical initiatives.
Operating with full autonomy, you'll establish MLOps excellence,
mentor engineering teams, and drive strategic technical decisions
that directly impact patient outcomes. This role requires a
seasoned engineer who can balance innovation with production
reliability while building systems that handle healthcare's most
sensitive and complex data. Responsibilities ML Platform Ownership:
Architect and maintain enterprise-grade ML infrastructure,
including model versioning, automated testing frameworks,
containerization strategies, CI/CD pipelines, and comprehensive
monitoring systems for model performance, data quality, and drift
detection. Technical Leadership: Drive MLOps strategy and standards
across the organization. Mentor data scientists and engineers on
production best practices, system design, and scalable architecture
patterns. End-to-End Model Lifecycle: Own the complete journey from
model development through production deployment, including
real-time and batch inference systems, A/B testing frameworks, and
automated retraining pipelines. Cross-Functional Partnership:
Collaborate with clinical leaders, product teams, and data
scientists to translate complex healthcare requirements into
robust, scalable ML solutions. Present technical strategies to
executive stakeholders. Production Excellence: Build
fault-tolerant, compliant systems that meet healthcare security and
privacy standards. Establish SLAs, incident response protocols, and
disaster recovery procedures for mission-critical ML services.
Innovation & Scale: Evaluate and integrate cutting-edge MLOps tools
and practices. Design systems that scale with Monogram's growth
while reducing operational overhead and improving model iteration
velocity. Position Requirements Experience: 10 years in software
engineering with 5 years focused on ML infrastructure, MLOps, or
production ML systems 5 years of Python development with strong
software engineering fundamentals 3 years architecting and
deploying production ML systems on cloud platforms (Azure
preferred) Proven track record building and scaling ML platforms
from the ground up Healthcare or regulated industry experience
strongly preferred Technical Skills: Expert-level proficiency with
MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML, etc.) Deep
experience with containerization (Docker, Kubernetes),
orchestration tools (Airflow, Prefect), and infrastructure-as-code
(Terraform, ARM templates) Advanced knowledge of CI/CD systems,
automated testing strategies, and GitOps workflows Strong data
engineering skills: SQL, Spark/PySpark, Databricks, data pipeline
optimization Expertise in model monitoring, observability, feature
stores, and experiment tracking at scale Production experience with
both batch and real-time inference architectures Understanding of
healthcare data standards (FHIR, HL7, claims data) is a plus
Leadership & Communication: Demonstrated ability to influence
technical direction and mentor senior engineers Exceptional
communication skills with ability to distill complex technical
concepts for diverse audiences Track record of driving consensus on
architectural decisions across multiple stakeholders Educational
Background: Bachelor's degree in Computer Science, Engineering, or
related field required Master's degree or equivalent practical
experience preferred Additional Skills: Systems thinking with focus
on reliability, scalability, and maintainability Deep understanding
of security, compliance, and privacy requirements in healthcare
(HIPAA) Bias toward action with pragmatic approach to technical
debt and iterative improvement Benefits Comprehensive Benefits -
Medical, dental, and vision insurance, employee assistance program,
employer-paid and voluntary life insurance, disability insurance,
plus health and flexible spending accounts Financial & Retirement
Supportâ?¯– Competitive compensation, 401k with employer match, and
financial wellness resources Time Off & Leaveâ?¯– Paid holidays,
flexible vacation time/PSSL, and paid parental leave Wellness &
Growth – Work life assistance resources, physical wellness perks,
mental health support, employee referral program, and BenefitHub
for employee discountsâ?¯ About Monogram Health Monogram Health is
a leading multispecialty provider of in-home, evidence-based care
for the most complex of patients who have multiple chronic
conditions. Monogram health takes a comprehensive and personalized
approach to a person’s health, treating not only a disease, but all
of the chronic conditions that are present - such as diabetes,
hypertension, chronic kidney disease, heart failure, depression,
COPD, and other metabolic disorders.�� Monogram Health employs
a robust clinical team, leveraging specialists across multiple
disciplines including nephrology, cardiology, endocrinology,
pulmonology, behavioral health, and palliative care to diagnose and
treat health issues; review and prescribe medication; provide
guidance, education, and counselling on a patient’s healthcare
options; as well as assist with daily needs such as access to food,
eating healthy, transportation, financial assistance, and more.
Monogram Health is available 24 hours a day, 7 days a week, and on
holidays, to support and treat patients in their home.â?¯ Monogram
Health’s personalized and innovative treatment model is proven to
dramatically improve patient outcomes and quality of life while
reducing medical costs across the health care continuum. â?¯
Keywords: Monogram Health, Murfreesboro , Staff Engineer, Machine Learning Operations, IT / Software / Systems , Brentwood, Tennessee
