GCP Senior Data Lead

Delhi, Delhi

Job Summary

We are seeking a highly experienced Senior Data Scientist, Machine Learning Engineer with strong exposure in DevOps (ML Platform/ GCP) with 8+ years of experience to drive AI/ML, infrastructure automation, CI/CD, containerization, and ML platform operations on GCP

initiatives for the RAPTOR platform. The role focuses on ML platform engineering, Vertex AI-based solutions, real-time inference, and scalable ML pipelines while supporting platform modernization and AI-driven improvements.
The candidate will work across incident response, request processing, ML platform support, and developer enablement, with a strong focus on Google Cloud Platform (GCP) and Vertex AI ecosystem.

Key Responsibilities

- Design, build, and maintain scalable ML pipelines and orchestration frameworks using Vertex AI and Kubeflow.
- Develop and operationalize machine learning models for batch and real-time inference.
- Manage end-to-end ML lifecycle: data ingestion, training, evaluation, deployment, monitoring, and retraining.
- Collaborate on platform modernization initiatives and introduce automation across RAPTOR services.
- Support incident response, root cause analysis, and production troubleshooting for ML systems.
- Implement monitoring and alerting frameworks for model performance and failures.
- Develop and manage REST APIs for model integration and platform services.
- Work on real-time streaming and event-driven ML architectures using Pub/Sub and Dataflow.
- Provide developer support for RAPTOR platform and GCP tooling.




- Contribute to self-service AI capabilities and automation/monitoring frameworks.
Support ML/AI platform operations (Vertex AI, Gemini, infe rence systems).
- Build and maintain CI/CD pipelines for ML and platform services
- Automate infrastructure provisioning using Terraform and Ansible
- Manage containerized workloads using Docker and Kubernetes
- Ensure high availability, scalability, and system reliability
- Support incident response, monitoring, logging, and alerting systems
- Optimize deployment pipelines for ML models and data workflows
- Manage IAM roles, service accounts, and access control policies
- Enable self-service operations and automation frameworks

Provide platform support to ML engineers and data teams

Skill Requirements

1. Core ML & Data Science Skill Category ML model development, evaluation, deployment Must Have ML pipelines & orchestration (Vertex AI Pipelines / Kubeflow) Must Have Real-time inference & streaming ML systems Must Have Model monitoring (drift, failure detection, alerting) Must Have Feature engineering & model optimization Valuable to Have 2. GCP & AI Platform Vertex AI & ML Platform Skill Category Vertex AI (Batch training, inference, pipelines) Must Have Vertex AI Model Monitoring Must Have AutoML Must Have Gemini / LLM capabilities Good to Have 3. Data & Processing Skill Category BigQuery (SQL, large-scale data pr

Other Requirements

1.Relevant certifications in Google BigQuery, SQL, Python, Google dataflow, or CA Erwin Data Modeler are a plus.

📌 GCP Senior Data Lead (Delhi)
🏢 HCLTech
📍 Delhi