DevOps Engineer

Job Description

Position: DevOps Engineer – ML Frameworks
Company: ITC Infotech
Location: Bangalore
Experience Required: 4–7 Years
Employment Type: Full-Time

Professional Summary

Experienced DevOps Engineer with expertise in Machine Learning frameworks, cloud-native technologies, and CI/CD automation. Skilled in Python development, containerization, Kubernetes orchestration, and AI/ML infrastructure management. Proven ability to design, build, deploy, and support scalable software solutions while optimizing ML model training and inference workflows.

Key Skills
DevOps & Automation
CI/CD Pipeline Development
Continuous Integration & Continuous Deployment
Automated Testing
Jenkins
Release Management
Infrastructure Automation
Cloud & Containerization
Kubernetes
Docker
Linux Administration
Cloud-Native Architecture
Programming & Scripting
Python Development
Software Design & Refactoring
Debugging & Troubleshooting
Machine Learning & AI
TensorFlow
PyTorch
Triton Inference Server
Model Training & Deployment
AI/ML Infrastructure
LLM Fine-Tuning Systems
Model Inference Optimization
Core Responsibilities
Design, develop, refactor, and release high-quality software applications using Python.
Build and maintain scalable DevOps pipelines for continuous integration and deployment.
Implement and manage cloud-native solutions using Kubernetes, Docker, and Linux platforms.
Support machine learning workflows, including model training, validation, deployment, and inference.
Work with ML frameworks such as TensorFlow, PyTorch, and Triton to optimize model performance.
Develop and maintain automated testing and deployment processes.
Troubleshoot and resolve issues related to ML frameworks, cloud platforms, and production environments.
Collaborate with cross-functional teams to enhance AI/ML infrastructure and deployment strategies.
Monitor system performance and ensure high availability, reliability, and scalability.
Support LLM fine-tuning environments and inference infrastructure.
Qualifications
4–7 years of experience in DevOps Engineering and cloud-native technologies.
Strong proficiency in Python programming and software development.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Triton.
Experience working with Kubernetes, Docker, and Linux environments.
Expertise in CI/CD tools and DevOps best practices.
Experience with Jenkins or similar CI/CD platforms.
Strong analytical, debugging, and problem-solving skills.
Preferred Skills
Knowledge of AI/ML model training and inference infrastructure.
Experience supporting Large Language Model (LLM) fine-tuning systems.
Familiarity with scalable AI deployment architectures.
Exposure to cloud-based machine learning platforms and MLOps practices.
Soft Skills
Strong communication and collaboration skills
Critical thinking and analytical ability
Problem-solving mindset
Adaptability in fast-paced environments
Team-oriented approach