MLOps/DevOps/CloudOps

We are seeking a highly skilled MLOps / DevOps / CloudOps Engineer with 5-9 years of experience to build, automate, and manage cloud infrastructure and machine learning platforms. The ideal candidate should have strong expertise in AWS, Python, CI/CD, Infrastructure as Code (IaC), Kubernetes, and MLOps workflows.

Responsibilities

A day in the life of an Infoscion

As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.

You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.

You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.

You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.

You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Technical requirements

2+ 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

Education

Bachelor of Engineering,BTech