Lead Data Scientist

• Job Title: Lead Data Scientist

• Location: Bangalore

• Experience Required: 5+ years of relevant experience in Machine Learning

• Education: BE / B.Tech / MCA / M.Sc graduates only

• Notice Period: Immediate joiners preferred / currently serving notice period

• Hiring Drive: Face-to-Face interviews on Sunday 27th September 2026

As a Lead Data Scientist, you will spearhead the development and deployment of enterprise AI systems with an emphasis on Generative AI, Agentic workflows, and Natural Language Processing. You will design end-to-end architectures utilizing state-of-the-art transformer models, advanced Retrieval-Augmented Generation (RAG), and high-performance API services.

• Architect and deliver production-ready Generative AI solutions leveraging LLMs, Advanced RAG pipelines, and agentic workflows.

• Build autonomous multi-agent systems and applications incorporating Agentic AI concepts.

• Implement semantic search and retrieval systems using leading vector databases alongside LangChain and LlamaIndex frameworks.

• Develop and optimize machine learning, deep learning architectures, NLP models, and OCR processing pipelines.

• Build robust, scalable backend microservices and APIs using Python FastAPI with SDA-based implementations.

• Deploy, manage, and scale AI/ML workloads across enterprise cloud environments.

Must-Have Technical Expertise:

• Large Language Models & Frameworks: Hands-on experience with LLMs, Advanced RAG architectures, NLP, transformer models, and LangChain.

• Agentic AI: Demonstrated practical knowledge of Agentic AI concepts, tooling, and real-world implementations.

• GenAI Ecosystem: Deep understanding of Generative AI models (such as ChatGPT, LLaMA 2, GANs, VAEs, and transformers) coupled with vector databases and LlamaIndex.

• Core Data Science & ML: Solid foundation in machine learning algorithms, deep learning architecture design, NLP, and OCR.

• API & Backend Development: Strong proficiency in Python and FastAPI, including SDA-based implementations for API integration.

• Cloud Deployment: Proven expertise in deploying and serving AI models on major cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).

Eligibility Criteria:

• Minimum 5+ years of relevant hands-on experience in Machine Learning and Data Science.

• Educational Qualification: BE, B.Tech, MCA, or M.Sc degree holders only.

• Current Notice Period: Immediate joiners or candidates actively serving notice period.

• Availability: Candidates must be available for an in-person, face-to-face interview in Bangalore on Sunday, 27th September 2026.