Devops/mlops engineer jobs in India

We are looking for an experienced MLOps Engineer with strong hands-on expertise in GCP or Azure and Kubernetes-based ML deployments. · ...

We are looking for an experienced MLOps Engineer with strong hands-on expertise in GCP or Azure and Kubernetes-based ML deployments. The ideal candidate will build, automate, and optimize scalable machine learning pipelines and deploy models into production environments. · - Desi ...

A talented MLOps Engineer help operationalize machine learning models at scale. · 5+ years of good experience in MLOps. · Talented MLOps Engineer to help operationalize machine learning models at scale. · ...

We are seeking a DevOps/MLOps Engineer to manage cloud infrastructure and ML pipelines for scalable AI agent systems. · Automate CI/CD pipelines for AI agent and model lifecycle. · ...

· We're looking for a DevOps Engineer with 5–8 years of hands-on experience in Azure DevOps and cloud infrastructure management. You'll play a key role in managing CI/CD pipelines, maintaining secure credentials and access controls, and ensuring reliable, automated deployments a ...

We are seeking a DevOps/MLOps Engineer to manage cloud infrastructure and ML pipelines for scalable AI agent systems. · ...

A talented MLOps Engineer helps operationalize machine learning models at scale. · 5+ years of good experience in MLOps. · ...

The DevOps/MLOps Engineer is responsible for building and maintaining the secure, scalable cloud infrastructure and the continuous deployment pipelines for the entire Hierarchical Task Planning (HTP) agent framework. · ...

We are hiring a DevOps and MLOps Engineer to help us build and operate a production-grade cloud setup for an AI-heavy application. · This role is hands-on and execution focused. You will own infrastructure, deployment pipelines, observability, cost controls, and GPU workload oper ...

We are looking for an experienced and high-energy ML Ops Engineer to design enterprise architecture and drive solution architecture. · ...

Designed as a hybrid role with an expectation of working 2 days per week from HPE offices. · ...

We're looking for a DevOps Engineer to help build deploy scale and secure Eizen's Computer Vision & multi-tenant AI Agent platform. · Design & manage AWS + On-Prem infrastructure · Build and maintain CI/CD pipelines for microservices & AI models · ...

This is a full-time on-site role for a DevOps and MlOps Specialist located in Hyderabad. · Designing and maintaining DevOps pipelines for continuous integration and deployment (CI/CD) · Ensuring optimal Linux server configurations · ...

This is a full-time DevOps and MlOps Specialist role for an Indian company. The candidate will design and maintain DevOps pipelines, manage Kubernetes clusters and automate infrastructure tasks. · Designing and maintaining DevOps pipelines for continuous integration and deploymen ...

Design MLOps pipelines for continuous deployment integration of machine learning models collaborate with data scientists engineers optimize model requirements. · Troubleshoot resolve issues related model deployment performance ensure compliance security data privacy standards kee ...

Join our team as a Senior DevOps and MLOps Engineer and play a key role in building and scaling cutting-edge infrastructure and deployment systems. · ...

Role Description · Experience with DevOps in Azure cloud. · Good understanding of Cloud Infrastructure services and their limitations. · Experience in configuring & monitoring different attributes and handling scale-up and scale-down scenarios for the application in a cloud envir ...

7 - 9 Years · 1 Opening · Kochi · Role description · Experience with DevOps in Azure cloud. · Good understanding of Cloud Infrastructure services and their limitations. · Experience in configuring & monitoring different attributes and handling scale-up and scale-down scenarios fo ...

Job summary · Devops Engineer responsible for designing and implementing CI/CD pipelines to automate build test and deployment processes. · Responsibilities · Manage containerized AI workloads across cloud environments. · Integrate security compliance and guardrails into every pi ...

Build automated MLOps pipelines for model training deployment retraining integrating Jenkins GitLab with ML tools. · ...