Description

Design and deliver production-grade Generative AI solutions on Google Cloud Platform.

This role is on-site.

Responsibilities

• Build and deploy production-ready LLM applications and APIs on GCP.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Manage end-to-end MLOps pipelines with Vertex AI, Kubeflow, and Terraform.
• Optimize model performance via fine-tuning, prompt engineering, and compression.
• Architect scalable, secure GCP infrastructure with strict IAM and VPC controls.

Required Skills

• 5+ years of industry experience in Machine Learning.
• 3+ years building and deploying Generative AI/LLM solutions in production.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face.
• Deep expertise in Google Cloud Platform, including Vertex AI, BigQuery, Dataflow, and Cloud Run.
• Solid understanding of SQL and unstructured data processing.
• Experience with Docker, Kubernetes (GKE), and CI/CD pipelines.

Preferred Skills

• Experience with multi-agent systems and orchestration (LangGraph, AutoGen).
• Deep understanding of vector databases (Vertex AI Vector Search, Pinecone, Chroma).

Key Skills

Education

Any Graduate