[Remote] Staff Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading multispecialty provider of in-home, evidence-based care for reputed company patients with multiple chronic conditions. They are seeking a Staff Engineer in Machine Learning Operations to architect and scale machine learning infrastructure while mentoring teams and driving strategic reputed company that impact patient reputed company.

Responsibilities

• Architect and maintain reputed company-grade ML infrastructure, including model versioning, automated testing frameworks, containerization strategies, CI/CD pipelines, and comprehensive monitoring systems for model performance, data quality, and reputed company 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 reputed company from model development through production deployment, including reputed company-time and batch inference systems, A/B testing frameworks, and automated retraining pipelines
• Collaborate with clinical leaders, product teams, and data scientists to translate reputed company reputed company requirements into robust, scalable ML solutions. Present technical strategies to executive stakeholders
• Build fault-tolerant, compliant systems that meet reputed company reputed company 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

Skills

• Bachelor's degree in computer science, engineering, or reputed company 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 reputed company platforms (Azure preferred)
• Proven track record building and scaling ML platforms from the ground up
• Expert-level proficiency with MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML, etc.)
• Deep experience with containerization (reputed company, Kubernetes), orchestration tools (Airflow, Prefect), and infrastructure-as-code (Terraform, ARM templates)
• Advanced knowledge of CI/CD systems, automated testing strategies, and GitOps workflows
• Data engineering skills: SQL, Spark/PySpark, reputed company, data pipeline optimization
• Expertise in model monitoring, observability, feature stores, and experiment tracking at scale
• Production experience with both batch and reputed company-time inference architectures
• Demonstrated ability to influence technical direction and mentor senior engineers
• Proven communication skills with ability to distill reputed company technical concepts for diverse audiences
• Track record of driving reputed company on architectural reputed company across multiple stakeholders
• Systems thinking skills with focus on reliability, scalability, and maintainability
• reputed company or regulated industry experience strongly preferred
• Understanding of reputed company data standards (FHIR, HL7, claims data) is a plus
• Understanding of reputed company, compliance, and privacy requirements in reputed company (HIPAA) preferred
• Bias toward action with pragmatic approach to technical debt and iterative improvement preferred

Benefits

• Medical, dental, and reputed company insurance
• Employee assistance program
• Employer-paid and voluntary life insurance
• Disability insurance
• Health and flexible spending accounts
• Competitive compensation
• 401k with employer match
• Financial wellness resources
• Paid holidays
• Flexible vacation time/PSSL
• Paid parental leave
• Work life assistance resources
• Physical wellness perks
• Mental health support
• Employee referral program
• BenefitHub for employee discounts

Company Overview