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Machine Learning Engineer

Job in Northern, Floyd County, Kentucky, USA
Listing for: Monogram Health
Full Time position
Listed on 2026-09-02
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Staff Machine Learning Engineer
Location: Northern

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
  • 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.
  • Drive MLOps strategy and standards across the organization. Mentor data scientists and engineers on production best practices, system design, and scalable architecture patterns.
  • 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.
  • 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.
  • 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.
  • 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
  • Bachelor’s degree in computer science, engineering, or related field required; master’s degree preferred
  • Minimum of ten (10) years in software engineering with five (5) years focused on ML infrastructure, MLOps, or production ML systems and Python development with strong software engineering fundamentals and three (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
  • Expert-level proficiency with MLOps tooling (MLflow, Kubeflow, Sage Maker, 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 Git Ops workflows
  • 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
  • Demonstrated ability to influence technical direction and mentor senior engineers
  • Proven communication skills with ability to distill complex technical concepts for diverse audiences
  • Track record of driving consensus on architectural decisions across multiple stakeholders
  • Systems thinking skills with focus on reliability, scalability, and maintainability preferred
  • Understanding of security, compliance, and privacy requirements in healthcare (HIPAA) preferred
  • Bias toward action with pragmatic approach to technical debt and iterative improvement preferred
  • 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 SupportCompetitive compensation, 401k with employer match, and financial wellness resources
  • Time Off & Leave – 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 Benefit Hub for employee discounts
About Monogram Health

Monogram Health is a leading multispecialty…

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