Job Title: SRE / DevOps Engineer (ML Framework Experience is Must)
Experience Required: 5+ years
Employment Type: Full-Time
Location: India ( Hybrid ) Bangalore
Notice Period: Immediate joiners or currently serving notice period (less than 2 weeks preferred)
Job Description
SRE / DevOps (ML Framework experience is must)
Exp: 5+ years
Notice Period: Immediate or currently serving notice period profile with less than 2 weeks
Responsibilities & Skills Required:
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 fine 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/configuration & 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.
Key Filters for LinkedIn Posting
Job Function: Engineering / Information Technology
Seniority Level: Mid-Senior level
Industry: Information Technology & Services / Software Development / AI & ML
Employment Type: Full-time
Experience Level: 5 to 8 years
Work Mode: Hybrid / Remote / Onsite (choose as per your requirement)
Skills to Tag:
Python, PyTorch, TensorFlow, Triton, MLOps, SRE, DevOps, Kubernetes, Docker, Jenkins, CI/CD, Linux, Cloud, ML Infrastructure, Model Training, Inference, LLM Fine Tuning, Automation, Monitoring, Troubleshooting
How to Apply
If youre an SRE / DevOps Engineer passionate about ML frameworks and cloud-native automation, apply here or share your profile directly with the recruiter. Immediate joiners preferred

Keyskills: tuning training ml python docker devops linux kubernetes infrastructure llm pytorch tensorflow
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