Shared job
Executive-KDNI
Bengaluru · Entry Level
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
No credit card · 1 tap with Google
What we know about this role
HIGH
KPMG India is actively reviewing profiles and moving candidates through the pipeline right now.
First 72 hours
Still inside it - posted 2h agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
13 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
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 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.
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
More DevOps Engineer roles in Bengaluru
See allKeep browsing