Headline

MLOps Intern | Immediate Joiner | Terraform, AWS (SageMaker, Lambda, Step Functions, S3, IAM, ECR, Api Gateway), React.js | AI/ML Enthusiast | Building Scalable and Reliable ML Deployment Pipelines

About

Availability: Immediate Joiner MLOps and AIML Automation Engineer with 1+ year of experience at the MS Intelligence department in Bengaluru, specializing in automating and scaling end-to-end ML pipelines on AWS. Immediate joiner with a proven track record of delivering robust, production-ready ML workflows using Terraform, AWS SageMaker, and Step Functions. Key strengths include: Automating complete ML lifecycle—from data ingestion and training to deployment—using AWS Step Functions and SageMaker Building Infrastructure as Code (IaC) with Terraform for consistent and scalable cloud provisioning Integrating services like Lambda, API Gateway, EC2, S3, and ECR for seamless orchestration Writing efficient Gradle and Shell scripts to enable CI/CD with minimal manual effort Collaborating with cross-functional teams to resolve infrastructure, deployment, and operational challenges in real-time Known for reducing model deployment times, improving pipeline reliability, and accelerating AIML experimentation across projects. Core Skills: MLOps · AI/ML Automation · AWS SageMaker · AWS Step Functions · Terraform · AWS Lambda · EC2 · API Gateway · IAM · S3 · ECR · CI/CD · Gradle · Shell Scripting · Python · SQL · React.js · JavaScript · JSON.

Location

Bengaluru

AI stack

hugging face

langchain

langgraph

ollama

Work experience

Intern at MetricStream, Aug 2024 - Present · 1 yr 11 mos, Bengaluru, Karnataka, India, ● Working in the ms intelligence department, responsible for the end-to-end management of aiml usecase automation. ● Designed and implemented Infrastructure as Code (IaC) using Terraform to provision AWS services required for various AI/ML use cases, ensuring consistent and scalable deployments. ● Built and modified AWS Step Function pipelines to orchestrate model training, SageMaker model creation, and endpoint deployment in a fully automated workflow. ● Continuously optimized automation processes and enhanced the reliability and reusability of deployment pipelines for rapid experimentation and model updates.

Education

Bachelor of Technology - BTech, Computer Science, Dayananda Sagar University