Division:
Information Technology

Employment Status:
Exempt

Salary Grade:
111

Shift
Requisition ID:
77130

Please be aware that if you are selected to formally interview for an internal position you will be required to notify your current manager. Please refer to the Employee Transfers Guidelines posted on Skylink.
Description
We are seeking a highly experienced Principal MLOps Engineer with 5–10 years of industry experience to lead the design, deployment, and optimization of machine learning infrastructure. This role requires deep expertise in Kubernetes (K8s), cloud-native technologies, and scalable ML systems. The ideal candidate will drive best practices in MLOps and collaborate with cross-functional teams to deliver robust AI solutions. We offer competitive compensation and benefits, opportunity to work on cutting-edge AI/ML systems, team-oriented and cutting-edge work setting, career growth and learning opportunities.

Responsibilities
Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring in Azure,



onprem 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.
Ensure high availability, security, and compliance of ML systems.
Develop infrastructure as code using tools like Terraform or Helm.
Establish and enforce best practices for model governance and reproducibility.
Lead other MLOps resources for scaling projects
Knowledge of Generative AI Projects.

Required Experience And Skills
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
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

📌 Sr Manager, Enterprise Systems Bengaluru
🏢 Skyworks Solutions
📍 Bengaluru