Data Scientist

Experience: 2+ Years

Location: Chennai

Job Summary

• We are looking for a driven and curious Data Scientist to join our growing AI & Data Science team.
• The ideal candidate will have a foundational understanding of data analysis and machine learning, with
• a strong interest in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and
• agentic AI systems. This role provides an exciting opportunity to work on real-world applications of
• LLMs and support the development of intelligent, task-oriented agents.

Key Responsibilities

• Clean, transform, and analyze data (structured and unstructured) from diverse sources.
• Perform exploratory data analysis to identify actionable insights.
• Support the development and evaluation of traditional and deep learning models.
• Assist in integrating LLMs into workflows using RAG pipelines.
• Collaborate with senior team members to build and refine agentic AI systems for task

automation.

• Contribute to the design and testing of knowledge retrieval systems, including vector stores and

embedding models.

• Develop dashboards, visualizations, and documentation to effectively communicate insights and

findings.

Required Skills & Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related

discipline.

• Strong programming proficiency in Python, including experience with libraries like pandas,

numpy, scikit-learn, and either LangChain or LlamaIndex.

• Fundamental understanding of Natural Language Processing (NLP) and large language models

(LLMs).

• Hands-on experience with SQL and database interactions.
• A strong passion for advancements in Artificial Intelligence and a commitment to ongoing

learning.

• Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases

like FAISS, Chroma, or Pinecone.

• Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Transformers.
• Knowledge of agentic AI systems, including task planning and autonomous agents
• Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git).