Director Of Software Engineering (mlops & Ml Governance)

Empowercommunitycare

Base: $138,000.00 - $200,100.00; bonus/equity: non...
Hybrid
Mlops platform implementation
Ml lifecycle management
Model governance frameworks
Empower Community Care is seeking a Director of Software Engineering with a focus on MLOps and ML governance to lead a core technical unit and drive the development of scalable machine learning solutions. The ideal candidate will possess extensive experience in software engineering, team management, and expertise in ML lifecycle management within a regulated environment

Job Summary

  • This leader fosters innovation within the team and collaborates with senior leadership across product, engineering, data science, risk, and compliance to achieve the organization's strategic business initiatives.
  • Leads the design, implementation, and scaling of enterprise MLOps platforms and capabilities, including CI/CD pipelines for ML, model versioning, automated testing, monitoring, and model lifecycle management.
  • We offer an array of diverse and inclusive benefits regardless of where you are in your career.

Matching Summary

Match Score: 85

Empower Community Care is seeking a Director of Software Engineering with a focus on MLOps and ML governance to lead a core technical unit and drive the development of scalable machine learning solutions. The ideal candidate will possess extensive experience in software engineering, team management, and expertise in ML lifecycle management within a regulated environment.

Salary

Base: $138,000.00 - $200,100.00; Bonus/Equity: Non-sales positions have the opportunity to participate in a bonus program; Benefits: Medical, dental, vision and life insurance, Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), tuition reimbursement up to $5,250/year

Skills & Requirements

Must-have

  • MLOps platform implementation
  • ML lifecycle management
  • model governance frameworks
  • cloud platforms (AWS, Azure, GCP)
  • containerization (Docker/Kubernetes)
  • CI/CD pipelines
  • infrastructure-as-code

Nice-to-have

  • fosters innovation
  • welcoming and inclusive environment
  • purpose, well-being, and work-life balance
  • internal mobility
  • responsible AI standards

Key Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of professional experience and/or training
  • 10+ years of experience in software engineering
  • 4+ years successfully managing teams (including managers)
  • Proven experience leading or building an MLOps function
  • Applicants must be authorized to work for any employer in the U.S.

Work Rights

Must be authorized to work for any employer in the U.S.

Tailored Resume

Cover Letter