Data Scientist

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).
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