Sr. Manager, Enterprise Systems

Responsibilities

• Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring across Azure, on-prem, and other cloud environments
• Lead the implementation of containerized ML workloads using Kubernetes
• Collaborate with data scientists and engineers to productionize ML models
• Automate model lifecycle management, including versioning, rollback, and performance tracking
• Develop infrastructure as code using tools like Terraform or Helm
• Ensure high availability, security, and compliance of ML systems
• Establish and enforce best practices for model governance and reproducibility
• Lead MLOps resources to scale projects and support Generative AI initiatives

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 10-12 years of experience in MLOps, DevOps, or software engineering
• Extensive experience with Kubernetes and container orchestration
• Proficiency in Python and Bash scripting
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Familiarity with cloud platforms including AWS, Azure, or GCP
• Knowledge of CI/CD tools, monitoring systems, and code assist tools
• Experience with Agentic Frameworks like LangChain, Langraph, or Microsoft Azure Foundry
• Knowledge of setting up and maintaining on-prem deployments and hybrid environments

Preferred Qualifications

• Experience with Kubeflow, MLflow, or similar platforms
• Exposure to data versioning tools like DVC or LakeFS
• Understanding of model explainability and compliance frameworks
• Contributions to open-source MLOps projects

Benefits

• Competitive compensation and benefits
• Opportunity to work on cutting-edge AI/ML systems
• Collaborative and innovative work environment
• Career growth and learning opportunities

About the Company

Skyworks is a global leader in semiconductor solutions, providing innovative technologies that power the modern world.