Data Scientist (Exp 2- 5 yrs )

Job Description

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, witha 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). Job Type: Full-time Schedule: Evening shift Monday to Friday Weekend availability Work Location: In person