Sanjib Kumar · Lead Python / MLOps Engineer · 10+ yrs
PrincipalAbout Sanjib
Sanjib Kumar is a Machine Learning and Operation Lead with 10+ years of experience in machine learning, DevOps, and financial services. He has a strong background in deploying and managing ML models using Python, Kubernetes, and Docker.
10+ years of commercial experience in
Skills(13)
Why hire Sanjib?
Designed and implemented end-to-end CI/CD pipelines for automated software delivery.
Managed and monitored Kubernetes clusters and Docker containers for ML infrastructure.
Leveraged Ansible for configuration management, streamlining automation across the DevOps lifecycle.
Successfully contributed to projects involving deep learning models for object detection.
Successfully designed and implemented end-to-end CI/CD pipelines for automated software delivery.
Designed and maintained highly available, scalable systems on AWS infrastructure.
Project highlights(6)
AI Hub Infrastructure Support – Machine Learning and Operation Lead
Overview: Led infrastructure support for predictive analytics and deep learning within an enterprise AI HUB. Responsibilities: Created and managed Docker containers, acted as a release manager for the AI Hub, monitored Kubernetes clusters and Docker containers for performance and health, integrated Kubernetes and runAI for machine learning model deployment, and leveraged Ansible for configuration management.
Key outcomes:
Ensured smooth release processes for the AI Hub.
Integrated Kubernetes with runAI for model deployment.
Kubernetes Cluster Management – Technical Lead
Overview: Responsible for the setup, configuration, and management of Kubernetes clusters. Responsibilities: Set up and configured Kubernetes clusters, managing resource allocation and nodes, ensuring high availability and scalability through orchestration.
Key outcomes:
Successfully set up and configured Kubernetes clusters.
Integrated container technologies into CI/CD for automated deployments.
CI/CD Pipeline Implementation – Associate Consultant
Overview: Designed and implemented end-to-end CI/CD pipelines for software delivery. Responsibilities: Set up automated build processes, managed deployment automation, and contributed to deep learning projects using Python modules.
Key outcomes:
Designed and implemented full CI/CD pipelines.
Contributed to deep learning projects for image processing.
Project 4 – Senior Software Engineer
Senior Software Engineer — highly available scalable AWS infrastructure with Docker + Kubernetes microservices + Ansible. AWS Cloud + Docker + Kubernetes + Python + Ansible.
Key outcomes:
Designed scalable systems on AWS.
Automated workflows with Python and Ansible.
Enforced IaC best practices.
Project 5 – Technical Support Representative
Technical Support Representative — L2 Support for SQL + Linux critical systems with application issue resolution. SQL + Linux + Jenkins.
Key outcomes:
Provided L2 support for critical systems.
Resolved application issues and executed build jobs.
Conducted health checks and log analysis.
Industry experience
FinTech
Reported in resumeEdTech
2 projects- •AI Hub Infrastructure Support— Machine Learning and Operation LeadDocker · Kubernetes · Ansible
- •CI/CD Pipeline Implementation— Associate ConsultantCI/CD Pipelines · Ansible · Python
At a Glance
Single contract. No agency markup confusion.
Typically responds within 4 business hours.
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Sanjib Kumar
MLOps Engineer