SRE Devops ML Framework

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 (99.999%)

● 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 [email protected]

Job Type: Contractual / Temporary
Contract length: 24 months

Pay: ₹2,500,000.00 - ₹3,500,000.00 per year

Benefits:

• Health insurance

Expected Start Date: 31/10/2025