Manager - Gen AI

Job Title

Sr Analyst, Data Science and Analytics

Role Overview

This is an exciting time at TransUnion CIBIL. With investments in our people, technology and new business markets, we are redefining the role and purpose of a credit bureau. We are looking for a hands on AI Engineer to design, build, and deploy AI-driven solutions addressing business problems across operations and data science. This role requires strong implementation capability with modern LLM frameworks and practical system integration experience. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Responsibilities

• Design and implement Generative AI solutions (LLMs, RAG, agents) for Ops and DS use cases
• Develop and deploy use cases such as text classification and generating vector embeddings for structured (tabular) data, enabling end-to-end AI/ML solution development tailored to customer needs
• Build scalable pipelines integrating structured + unstructured data into AI systems
• Develop and optimize prompt engineering, embeddings, and retrieval systems
• Work closely with business teams to translate use cases into functional AI solutions
• Integrate GenAI applications into existing enterprise systems and workflows
• Evaluate models for performance, cost, latency, and accuracy - Ensure governance, security, and responsible AI practices

Required Knowledge And Experiences

Experience Skills

• Bachelor's degree in engineering, Statistics, Economics, Data Science, or related fields.
• 3-5 years of experience in analytics (operations, business, or product analytics preferred).
• Strong programming in Python
• Hands-on experience with LLMs (OpenAI, Azure OpenAI, or open-source models like Llama/Mistral)
• Strong prompt engineering capabilities to design and optimize LLM interactions for real-world applications
• Strong understanding of deep learning frameworks such as TensorFlow and PyTorch, including model architecture design, training, fine-tuning, and optimization
• Expertise in RAG architectures, vector databases (Pinecone, FAISS, Weaviate, etc.)
• Experience with LangChain / LlamaIndex / similar orchestration frameworks
• Solid understanding of ML fundamentals and NLP concepts
• Experience deploying solutions on cloud platforms (Azure/AWS/GCP) Familiarity with APIs, microservices, and data pipelines

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.