Job DescriptionWe are seeking an experienced MLOps Engineer with solid expertise in deploying, managing, and optimizing machine learning workloads in production environments. This role is primarily focused on MLOps (60%), supported by AWS Cloud (25%) and DevOps (15%) capabilities. The ideal candidate will have hands-on ownership of the end-to-end ML lifecycle, including model training, deployment, monitoring, automation, performance optimization, and retraining. Solid experience with AWS services, CI/CD pipelines, containerization, infrastructure automation, and production-grade ML platforms is essential. This is not a generic DevOps role; candidates must demonstrate proven experience in operationalizing and maintaining ML models at scale in cloud settings.
Roles Responsibilities
5+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation
Strong with Jenkins, Git, Docker, EKS troubleshooting
AWS: SageMaker, Lambda, S3, ECS, IAM, RDS,



infra creation
IaC: CloudFormation (CFT) and Terraform
MLOps: build/operate ML pipelines deploying to SageMaker, Databricks, or Lambda
Technical Requirement1. SageMaker
MLflow
Kubeflow
Databricks
MLOps
Model Deployment
Model Monitoring
Model Retraining
Feature Store
CI/CD for ML
Training Pipelines
Inference Pipelines
Drift Detection
Docker
Kubernetes/EKS
Terraform
CloudFormation
AWS Lambda
Python Automation
Educational RequirementMCA,MSc,MTech,Bachelor of Engineering,BTech
Preferred SkillsTechnology->AI-AI Engineering->MLOps,Technology->AI-Data science->Machine Learning,Technology->Devops->Ansible,Technology->OpenSystem->Python - OpenSystem
Service LineData Analytics Unit

📌 Mlops Engineer Bengaluru
🏢 Infosys
📍 Bengaluru