MLOps Engineer

Infosys · IT Services & Consulting

Bangalore, India
On-site
Posted today
Data & AI

About the job

We are seeking an experienced MLOps Engineer with strong 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. Strong 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 environments.

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 requirements

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 requirements

MCA,MSc,MTech,Bachelor of Engineering,BTech

Preferred skills

Technology->AI-AI Engineering->MLOps,Technology->AI-Data science->Machine Learning,Technology->Devops->Ansible,Technology->OpenSystem->Python - OpenSystem

Experience: 2-6 years

Apply on Infosys