SR AI Engineer

Overview

SR AI Engineer role focused on building cloud data pipelines and machine learning solutions using GCP and modern MLOps.

What you'll do

• Provide technical consulting and hands-on support to Fab area teams to create, identify, troubleshoot, and deploy solutions.
• Design and build cloud-based data pipelines for ingestion, transformation, and feature engineering on GCP.
• Develop, train, deploy, and monitor machine learning models using Vertex AI and MLOps practices.
• Build and integrate APIs for application integration, including gateway patterns, token authentication, and routing/proxy.
• Develop production-grade full-stack applications and dashboards with Angular and rapid prototypes using Streamlit or Omelek.
• Implement CI/CD pipelines for automated build, test, and deployment using listed tooling.

What you'll need

• Experience with GCP-based data pipelines including ingestion, transformation, and feature engineering.
• Hands-on use of Vertex AI and MLOps components such as model registry and drift/performance monitoring.
• Ability to build and integrate APIs including Apigee gateway patterns and token authentication.
• UI development experience with Angular front-ends and dashboards/prototypes using Streamlit or Omelek.
• Experience implementing CI/CD pipelines with Cloud Build and at least one of Bitbucket/Jenkins/Azure DevOps and container orchestration.
• Data skills using SQL and other query languages, including data cleansing and missing-data techniques.

Details

• Location: Hyderabad, Telangana, India.