SRE Devops ML Framework
6 days ago
Hi,
We openings for SRE Devops ML frmaework, With one of Product based client, for Bangalore (Contract to hire).
Job Functions:
You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization.
● You'll partner with vendors and the infrastructure engineering team for security and service availability
● You'll fi x production issues with engineering teams, researchers, data scientists, including performance and functional issues
● Diagnose and solve customer technical problems
● Participate in training customers and prepare reports on customer issues
● Be responsible for customer service improvements and recommend product improvements
● Write support documentation
● You'll design and implement zero-downtime to monitor and accomplish a highly available service %)
● As a support engineer, fi nd opportunities to automate as part of the problem management process, creating automation to avoid issues.
● Defi ne engineering excellence for operational maturity
● You'll work together with AI platform developers to provide the CI/CD model to deploy and confi gure the production system automatically
● Develop and follow operational standard processes for tools and automation development. Including: Style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards
● Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing
Required Skills:
● Demonstrated ability in designing, building, refactoring and releasing software written in Python.
● Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton.
● Ability to handle framework-related issues, version upgrades, and compatibility with data processing / model training environments.
● Experience with AI/ML model training and inferencing platforms is a big plus.
● Experience with the LLM fi ne tuning system is a big plus.
● Debugging and triaging skills.
● Cloud technologies like Kubernetes, Docker and Linux fundamentals.
● Familiar with DevOps practices and continuous testing.
● DevOps pipeline and automations: app deployment/confi guration & performance monitoring.
● Test automations, Jenkins CI/CD.
● Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams.
● Well organized and able to manage multiple projects in a fast paced and demanding environment.
● Good oral/reading/writing English ability.
Note: Max notice period should be less than 30days.
Interested can share their updated resume to
Job Type: Contractual / Temporary
Contract length: 24 months
Pay: ₹2,500, ₹3,500,000.00 per year
Benefits:
- Health insurance
Expected Start Date: 31/10/2025
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