Role Summary
We are seeking an experienced Data Scientist with a strong background in Artificial Intelligence and Machine Learning, specializing in designing and building Agentic AI systems and applications using state-of-the-art agentic frameworks. The ideal candidate will combine expertise in data science, machine learning, and modern AI orchestration frameworks to deliver cutting-edge solutions.
Key Responsibilities
- Design and build Agentic AI systems/applications using SOTA agentic frameworks (e.g., LangGraph, LangChain, or equivalent orchestrators).
- Develop robust data extraction and aggregation pipelines and perform advanced data analysis.
- Build, train, and evaluate state-of-the-art AI models, spanning classical ML, deep learning, reinforcement learning, and generative AI (LLM/SLM fine-tuning).
- Architect and implement end-to-end ML pipeline infrastructure for scalable deployment of models.
Job Requirements
- Strong expertise in Python, PyTorch, and SQL.
- Solid foundation in Machine Learning (classical methods), Deep Learning, and Reinforcement Learning.
- Excellent knowledge of data science and statistical concepts.
- Proven experience in building ML models using TensorFlow and PyTorch frameworks.
- Hands-on expertise in developing Agentic AI applications using LangGraph, LangChain, or other state-of-the-art agent orchestrator frameworks.
- Educational Qualification: B.Tech, M.Tech, or Ph.D. in AI/Data Science/Computer Science.
- Minimum 35 years of experience in the above areas.
Preferred Attributes
- Strong problem-solving and analytical skills.
- Ability to work independently and in collaborative teams.
- Passion for innovation and staying updated with the latest AI/ML advancements.
- Experience in deploying AI systems in production environments.
