Role & responsibilities
Troubleshoot and resolve AI/ML model, pipeline, and inference issues on GCP Vertex AI.
Design, deploy, and optimize Generative AI solutions including LLMs, RAG, Conversational AI, and Agent systems.
Build and manage ML Ops pipelines using Vertex AI, Kubeflow, and MLflow.
Build and manage ML Ops pipelines using Vertex AI, Kubeflow, and ML flow. workflows.
Configure and support GKE, Docker, GPU/TPU infrastructure, networking, and IAM.
Develop and troubleshoot RESTful APIs and gRPC-based AI services.
Perform root cause analysis (RCA) and drive permanent solutions for production incidents.
Create technical documentation, reference architectures, and best practice guides.
Provide technical consulting, onboarding, and architectural guidance to enterprise customers.
Collaborate with engineering and product teams to improve AI/ML platform capabilities.
Support 24x7 production operations through rotational shifts.

Preferred candidate profile




4+ years of experience in AI/ML, Generative AI, and Google Cloud Platform (GCP).
Solid expertise in Python, SQL, Machine Learning, Deep Learning, and Large Language Models (LLMs).
Hands-on experience with Vertex AI, MLOps, Kubeflow, MLflow, Kubernetes (GKE), and Docker.
Experience building and supporting RAG solutions, Conversational AI, and enterprise AI applications.
Robust understanding of GPU/TPU infrastructure, model deployment, monitoring, and optimization.
Excellent troubleshooting, debugging, and root cause analysis skills.
Robust communication and stakeholder management abilities with customer-facing experience.
GCP certifications and experience in cloud-based AI/ML solutions preferred.
Willingness to work in a 24x7 rotational support environment.

📌 Principal Generative Ai Chennai
🏢 Tata Consultancy Services
📍 Chennai