Live opening · Posted 10 days ago
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About the job
KPMG Delivery Network India (KDNI) is a diverse entity spread across multiple cities in India. We are an important part of the KPMG Delivery Network (KDN), a global organization that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries. Our team of over 3,000 professionals in India are known for their technical acumen and business insights, that come together to deliver exceptional client service.
When you join KDN, you’ll be a part of the wider KPMG global network working alongside some of our profession’s most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to the clients of KPMG member firms and driving positive change in the communities we serve.
As a KDN India colleague you will be helping to accelerate new ways of working, using cutting-edge technology to create increased value, and working together with member firm colleagues across the globe to drive sustainable growth and help achieve our ambition to be the most trusted and trustworthy professional services firm.
Position Summary:
As a DevOps professional in our team, you will play a pivotal role in designing, implementing, and managing the infrastructure and deployment pipelines that support our AI-driven applications. You will work closely with data scientists, AI researchers, and software engineers to ensure seamless integration and optimal performance of AI solutions.
Key Responsibilities:
Key responsibilities include:
Cloud Infrastructure Management:
• Design, deploy, and manage AI solutions on Azure and Google Cloud Platform (GCP).
• Optimize cloud resources to ensure cost-effectiveness and high performance.
CI/CD Pipeline Development:
• Develop and maintain continuous integration and continuous deployment pipelines for AI applications on Azure DevOps and GitHub Actions.
• Develop and maintain automated code and security scan pipelines.
• Automate deployment processes to streamline workflows and reduce time-to-market.
Hardware Integration:
• Manage and configure specialized hardware workstations including HP Fury Z8, Dell 7960 XCTO, and Nvidia GCX Studio A100.
• Ensure seamless integration between cloud services and on-premises hardware resources.
AI/ML Operations:
• Implement AI Ops, ML Ops, and RAG Ops practices to enhance the reliability and scalability of AI systems.
• Monitor system performance, troubleshoot issues, and implement improvements.
Collaboration and Support:
• Collaborate with cross-functional teams to understand requirements and deliver robust AI solutions.
• Provide technical support and guidance to team members regarding DevOps best practices and tools.
Security and Compliance:
• Ensure all deployments adhere to security standards and compliance regulations.
• Implement and maintain security protocols for both cloud and on-premises environments.
Educational Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
Work Experience:
• 1-3 Years of Work Experience
• Strong expertise in Azure AI Studio and developing AI solutions on the Azure platform.
• Experience with Google Cloud Platform (GCP) in deploying and managing AI solutions.
• Proven experience as a DevOps Engineer, preferably within AI or machine learning environments.
Skills
• Proficiency with cloud services, including compute, storage, networking, and AI/ML tools on Azure and GCP.
• Hands-on experience with CI/CD tools such as Azure DevOps or GitHub Actions or Jenkins.
• Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
• Knowledge of infrastructure as code (IaC) tools such as Terraform or Azure Resource Manager.
Work arrangement
No
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