4+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy production-ready Generative AI solutions using LLMs and Retrieval-Augmented Generation frameworks.
- Develop AI applications such as chatbots, document summarization, and knowledge assistants with prompt engineering and embeddings.
- Collaborate with cross-functional teams to deliver scalable enterprise-grade AI/ML models and ensure deployment and monitoring in production environments.
Minimum Requirements
- 4+ years of experience in machine learning, deep learning, or AI research focused on generative models.
- Strong hands-on expertise with Large Language Models (GPT-3/4, BERT, DALL.E), prompt engineering, embeddings, RAG, and AI orchestration frameworks like LangChain or LlamaIndex.
- Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch), experience with APIs, model integration, vector databases, and cloud platforms (Azure, AWS, GCP).
- Work Experience Required: 4+ years in relevant AI/ML roles; explicit experience in Corporate or Institutional Banking domain is preferred but not mandatory.
Ideal Candidate Profile
- Experienced in delivering enterprise-scale Generative AI solutions with large models and RAG in production environments.
- Comfortable working closely with business stakeholders and technical teams to translate complex business problems into scalable AI applications.
- Familiar with AI governance, security, MLOps practices, and has a strategic orientation toward evolving Generative AI and ML trends.