AI Engineer ( Full-Stack)

Overview

AI Engineer (Full-Stack) to design and build cloud-based data pipelines and AI/ML solutions, and to develop production applications and dashboards.

What you'll do

• Design and build cloud-based data pipelines for ingestion, transformation, and feature engineering on GCP.
• Develop, train, deploy, and monitor AI/ML models using Vertex AI and MLOps practices.
• Build and integrate application APIs for integration, including gateway patterns and token authentication.
• Develop production-grade full-stack applications and dashboards with Angular and rapid prototypes.
• Implement CI/CD pipelines for automated build, test, and deployment.
• Extract and transform data using SQL and other query languages, including cleansing and handling missing data.

What you'll need

• Experience with GCP-based cloud data pipelines covering ingestion, transformation, and feature engineering.
• Experience using Vertex AI and MLOps practices including pipelines, model registry, and drift/performance monitoring.
• Experience building APIs with integration patterns such as token authentication and routing/proxy.
• Experience developing full-stack UI with Angular and prototypes with Streamlit or Omelek.
• Experience with CI/CD tooling such as Cloud Build and Bitbucket, and frameworks like Jenkins or Azure DevOps.
• Experience with data extraction and transformation using SQL and techniques like data cleansing and outlier/missing-data handling.

Details

• Location: Hyderabad, India.