## Job highlights
- 2-9 years experience in MLOps, DevOps, CloudOps with expertise in cloud technologies, CI/CD pipelines, infrastructure automation, and containerization
- Design, automate, deploy, and maintain scalable cloud-native applications and ML platforms; build ML pipelines; manage CI/CD pipelines; optimize cloud infrastructure across AWS, Azure, or GCP Position: MLOps / DevOps / CloudOps Engineer

Experience:
2-9 Years

Location:
PAN India Employment Type: Full time Job Summary We are looking for talented MLOps / DevOps / CloudOps Engineers with 2-9 years of experience to design, automate, deploy, and maintain scalable cloud-native applications and machine learning platforms. The ideal candidate should have expertise in cloud technologies, CI/CD pipelines, infrastructure automation, containerization, monitoring, and operational excellence across multi-cloud environments.

Key Responsibilities
MLOps
- Build and maintain end-to-end ML pipelines for model development, deployment, monitoring, and retraining.




- Automate machine learning workflows using MLOps best practices.
- Deploy and manage ML models in production environments.
- Collaborate with Data Scientists, Data Engineers, and Platform teams.
- Implement model monitoring, performance tracking, and drift detection mechanisms. DevOps
- Design, build, and maintain CI/CD pipelines.
- Automate infrastructure provisioning and configuration management.
- Manage code repositories, branching strategies, and release processes.
- Implement DevSecOps practices and security controls.
- Improve deployment efficiency, reliability, and scalability. CloudOps
- Manage and optimize cloud infrastructure across AWS, Azure, or GCP.
- Monitor cloud resources, performance, cost, and availability.
- Troubleshoot infrastructure and application issues.
- Ensure high availability, disaster recovery, and business continuity.
- Implement infrastructure-as-code and cloud governance standards.

📌 MLOps Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru