Description

You will lead the design, building, and deployment of production-ready Generative AI applications and APIs on GCP.

This role is on-site.

Responsibilities

• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
• Develop and manage end-to-end MLOps pipelines for training, evaluation, deployment, and monitoring.
• Architect scalable and cost-efficient GCP infrastructure with a focus on security, IAM, and VPC design.
• Optimize model performance through fine-tuning, prompt engineering, and compression techniques.
• Provide technical leadership, guidance, and mentorship to team members.

Required Skills

• 5–8+ years of industry experience in Machine Learning.
• 3+ years of hands-on experience building and deploying Generative AI / LLM-based solutions in production.
• Strong experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Dataflow, and Cloud Run.
• Advanced proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with LLM frameworks/tools such as LangChain, LlamaIndex, or Hugging Face.
• Solid understanding of SQL and unstructured data processing.
• Experience with Docker, Kubernetes (GKE), and CI/CD pipelines.
• Familiarity with GPTQ, AWQ, and Terraform.

Preferred Skills

• Experience with Kubeflow and Cloud Build for MLOps orchestration.

Referral Bonus: ₹50,000

Key Skills

Education

Any Gradute