B.E. B. Tech M. Tech/ MCA in computer science, artificial intelligence, or a related field.
6+ years of IT experience with a minimum of 3+ years in Data Science (AI/Client).
Strong programming skills in Python.
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client (Research Oriented).
Expertise in most of the following areas:
- Supervised learning
- Unsupervised learning
- Deep learning
- Reinforcement learning
- Federated learning
- Time series forecasting
- Bayesian statistics
- Optimization
Hands-on experience in designing and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
Building RAG applications independently using available open-source LLM models.
Comfortable working in cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks).
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