Data Scientist (Exp 2- 5 Yrs ) Guardian Management Services
Guardian Management Services
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: Data Analysis, Machine Learning, Python, NumPy, SQL, Artificial Intelligence, RetrievalAugmented Generation RAG, Agentic AI systems, LLMs, Pandas, Scikitlearn, Langchain, LlamaIndex, natural language processing NLP, Database interactions, FAISS, Chroma, Pinecone, OpenAI API, Hugging Face Transformers, task planning, cloud platforms, Version Control Systems Git
About Guardian Management Services
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: Bachelors 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,