Senior/Lead Data Scientist

Company: Tredence
Location: Kolkata
Experience: 512 Years
Role: Associate Manager / Manager – Generative AI (GenAI)

About Tredence :

Tredence is a global AI and analytics company focused on solving complex business problems through Data Science, Machine Learning, Generative AI, and Cloud technologies. We partner with leading enterprises across Retail, CPG, Telecom, Healthcare, Travel, and Financial Services to drive measurable business impact.

Role Overview

We are seeking a highly skilled Generative AI professional with 5–12 years of experience to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-native architectures. The ideal candidate will combine deep technical expertise with leadership capabilities to drive innovation and mentor teams while delivering impactful AI solutions for global clients.

Key Responsibilities

• Design and implement scalable Generative AI solutions using LLMs such as GPT, Gemini, Claude, Llama, and Azure OpenAI.
• Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search technologies.
• Develop AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, and AutoGen.
• Create robust prompt engineering, evaluation, and monitoring frameworks to improve model performance and reliability.
• Architect production-ready AI applications, including deployment, observability, security, and governance.
• Partner with business stakeholders to identify high-value GenAI use cases and translate them into scalable solutions.
• Drive solution design, code reviews, and technical best practices across projects.
• Mentor junior engineers and data scientists while contributing as a hands-on individual contributor.
• Ensure Responsible AI practices, scalability, and compliance standards in deployed solutions.

Required Skills

Generative AI & LLMs

• Hands-on experience with LLMs, GenAI applications, and Prompt Engineering.
• Strong expertise in RAG architectures and vector search solutions.
• Experience with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.
• Knowledge of vector databases such as Pinecone, Weaviate, FAISS, ChromaDB, or Azure AI Search.
• Experience evaluating LLM outputs, reducing hallucinations, and implementing guardrails.

Programming & ML

• Strong proficiency in Python.
• Solid understanding of Machine Learning, Deep Learning, NLP, and Transformer architectures.
• Experience with Hugging Face, PyTorch, TensorFlow, and Scikit-Learn.
• Strong SQL skills and experience working with large-scale datasets.

Cloud & Deployment

• Experience with Azure, AWS, or GCP cloud platforms.
• Hands-on experience with Docker, Kubernetes, APIs, and CI/CD pipelines.
• Familiarity with MLOps/LLMOps practices for model lifecycle management.

Preferred Qualifications

• Experience designing enterprise-scale AI platforms and solution architectures.
• Exposure to Agentic AI, autonomous workflows, and multi-agent systems.
• Experience deploying GenAI applications in production environments.
• Consulting or client-facing experience in Retail, CPG, Healthcare, Telecom, or BFSI domains.
• Prior experience mentoring teams or leading technical workstreams.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.

What We Offer

• Opportunity to work on cutting-edge Generative AI programs for Fortune 500 clients.
• Exposure to enterprise-scale AI transformation initiatives.
• Fast-paced learning environment with strong focus on innovation and career growth.
• Collaborative and impact-driven culture