Senior Manager-Machine Learning

A global technology leader that develops software, cloud services, and business applications, known for Microsoft Dynamics 365 and Power Platform.
$150,000 - $250,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Senior Manager-Machine Learning

Join Microsoft's Business & Industry Copilots group as a Senior Manager of Machine Learning, where you'll lead the development of next-generation applications running on Dynamics 365, AI, and Copilot. This role combines technical leadership in machine learning with strategic direction for building scalable ML systems. You'll work with cutting-edge technologies in the Microsoft ecosystem, leading a team of ML engineers while architecting end-to-end machine learning solutions. The position offers the opportunity to shape ML strategy, implement MLOps best practices, and drive innovation in a rapidly growing organization. You'll be responsible for everything from model development to deployment, working with cross-functional teams to deliver high-impact solutions. The role combines technical expertise with leadership, requiring both deep ML knowledge and the ability to mentor and guide teams. Microsoft offers comprehensive benefits, a collaborative environment, and the chance to work on products that impact millions of users worldwide.

Last updated 3 months ago

Responsibilities For Senior Manager-Machine Learning

  • Lead and mentor ML and MLOps engineers team
  • Architect end-to-end machine learning pipelines
  • Design and implement CI/CD pipelines for ML model deployment
  • Define and enforce model governance policies
  • Collaborate with data science, software engineering, and product teams
  • Provide technical leadership across ML lifecycle
  • Optimize model performance and cost efficiency
  • Stay current with latest ML and MLOps trends

Requirements For Senior Manager-Machine Learning

Python
Kubernetes
  • 8+ years of experience in machine learning, MLOps, or software engineering roles
  • 3+ years in technical leadership or lead engineer role
  • Experience with cloud platforms (preferably Azure)
  • Expert knowledge in ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Strong experience with containerization (Docker, Kubernetes)
  • Understanding of security, privacy, and compliance requirements
  • Experience leading cross-functional teams
  • Advanced degree in Computer Science, Data Science preferred

Benefits For Senior Manager-Machine Learning

Medical Insurance
Education Budget
Parental Leave
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Opportunities to network and connect

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