Data & AI Engineering Professionals (Data Engineering, Analytics, AI/ML & Reliability Engineering)

Overview

Hiring multiple Data & AI Engineering roles across data engineering, analytics, reliability, big data, and AI/ML.

What you'll do

• Work on data engineering using PySpark/ETL-ELT and cloud platforms (GCP/AWS).
• Support data analysis with SQL and Python and manage stakeholder interactions.
• Deliver data reliability and SRE practices using platforms and automation-friendly engineering.
• Build and administer big data platforms using Hadoop and AWS EMR.
• Develop AI/ML solutions including generative/agentic AI and RAG with Vertex AI.
• Build automation tools across SRE and ML/AI platforms using Terraform and Python.

What you'll need

• Data Engineer roles require 2 to 12 years of experience.
• Data Analyst roles require 2 to 9 years of experience.
• Data Reliability Engineer roles require 2 to 9 years of experience.
• AI/ML Engineer roles require 2 to 12 years of experience.
• Applied AI Scientist roles require 2 to 12 years of experience.
• Site Reliability Engineer roles require 6 to 9 years of experience.
• Build with technologies including Python, PySpark, SQL, and GCP/Vertex AI (as listed per role).

Details

• Location: India.
• Work location line includes: “GCC-Puppalaguda Village”.