Key Skills

• Hands on experience with LLM models and basic knowledge of evaluation metrics for LLMs.
• Knowledge of designing and deploying agentic systems. knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows.
• Exposure to machine learning techniques including supervised and unsupervised learning
• Proficiency in Python, SciKit, SQL, Jupyter Notebooks and understanding of cloud platforms for data science tasks.
• Basic understanding of data mining and statistical analysis techniques.
• Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks.

Education and Experience

• B Tech or B. E. (Computer Science / Information Technology)
• 1+ years as a Data Scientist or similar roles.

Analytical and Personal skills

• Must have good logical reasoning and analytical skills.
• Good Communication skills in English – both written and verbal.
• Demonstrate Ownership and Accountability of their work.
• Attention to detail.