Senior Mlops Engineer - Analytics & Ai

athenahealth

Boston, MA, US
Base: $145,000 - $247,000; bonus/equity: annual di...
Hybrid
Kubernetes container orchestration
Python microservices development
Aws azure or gcp cloud platforms
The role focuses on building and improving the tools and infrastructure that enable scalable AI development and deployment within a thriving healthcare ecosystem

Job Summary

  • The role focuses on building and improving the tools and infrastructure that enable scalable AI development and deployment within a thriving healthcare ecosystem.
  • Engineers will partner across teams to ensure platform resilience, efficiency, and security while supporting frontier and foundational AI models.
  • Candidates can expect a competitive total rewards package including base pay, discretionary bonuses, variable compensation, and equity plans alongside comprehensive benefits.

Matching Summary

The role focuses on building and improving the tools and infrastructure that enable scalable AI development and deployment within a thriving healthcare ecosystem.

Salary

Base: $145,000 - $247,000; Bonus/Equity: Annual discretionary bonus plan and equity plans available; Benefits: Health, financial benefits, commuter support, tuition assistance, and flexible work arrangements

Skills & Requirements

Must-have

  • Kubernetes container orchestration
  • Python microservices development
  • AWS Azure or GCP cloud platforms
  • ML platform infrastructure tools
  • Grafana Prometheus monitoring

Nice-to-have

  • Experience with generative AI models
  • Familiarity with healthcare data ecosystems
  • Knowledge of service mesh architectures
  • Background in SRE practices
  • Interest in emerging AI tooling

Key Requirements

  • Bachelor's degree in Computer Science or equivalent experience
  • 4 to 6 years of experience in MLOps or Software Engineering
  • Strong proficiency with Kubernetes and Linux-based platforms

Work Rights

Not specified

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