Sr. Manager, Enterprise Systems

Skyworks Solutions, Inc.; Bengaluru; On-site; INR 1,800,000 - 2,200,000; Full time

Benefits offered by this job

Competitive salary

Career growth opportunities

Referral bonus program of Rs200,000

Job summary

A leading technology firm in Bengaluru is seeking a Principal MLOps Engineer to lead MLOps initiatives, focusing on the design and optimization of machine learning infrastructure. Ideal candidates should have 10-12 years of relevant experience, extensive knowledge of Kubernetes, and a strong background in cloud-native technologies. This position offers competitive compensation, a chance to work on cutting-edge AI/ML systems, and substantial opportunities for career growth.

Qualifications

• 10–12 years of experience in MLOps, DevOps, or software engineering.
• Extensive experience with Kubernetes and container orchestration.
• Familiarity with cloud platforms such as AWS, Azure, and GCP.

Responsibilities

• Architect and maintain scalable MLOps pipelines for model training and deployment.
• Lead implementation of containerized ML workloads using Kubernetes.
• Automate model lifecycle management including versioning and performance tracking.

Skills

Kubernetes expertise

Cloud-native technologies

Python proficiency

Bash scripting

ML frameworks experience

CI/CD tools knowledge

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Master’s degree preferred

Tools

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Terraform

Helm

Job description

Division: Information Technology

Employment Status: Exempt

Salary Grade: 111

Shift

Requisition ID: 77130

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, collaborative and innovative work environment, career growth and learning opportunities.

Responsibilities

• Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring in 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.
• 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 such as TensorFlow, PyTorch, or Scikit‑learn.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Knowledge of CI/CD tools and monitoring systems.
• Knowledge of using code assist tools.
• Agentic frameworks like LangChain, Langraph, Microsoft Azure Foundry.
• Knowledge of setting up and maintaining on‑prem deployments and hybrid environments with cloud.

Desired Experience And Skills

• 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.

Referral Bonus Program Reward (if eligible): Rs200,000.00