Senior Data Engineer II

Overview

Senior Data Engineer II focused on MLOps for a financial intelligence platform, bridging raw data to production-ready AI models.

What you'll do

• Architect scalable data pipelines and MLOps workflows in GCP.
• Deploy, monitor, and optimize machine learning models on Vertex AI and Ray endpoints.
• Orchestrate and fine-tune Kubernetes (GKE) clusters for high-throughput processing and real-time serving.
• Automate the ML lifecycle from training to deployment using Docker and CI/CD tooling.
• Build and optimize streaming pipelines using Apache Flink.
• Develop Docker images to standardize reproducible ML environments.

What you'll need

• 5–8 years of professional experience in Data Engineering or MLOps (L4 equivalent).
• Extensive, hands-on experience with Google Cloud Platform (GCP).
• Proven expertise in Vertex AI (Pipelines, Model Registry, Feature Store, Endpoints).
• Deep technical knowledge of Kubernetes architecture and Docker best practices.
• Expert proficiency in SQL and Python for data manipulation and SDK integration.

Details

• Office-based role with a standard 40-hour workweek in Chennai.