About the role
Hands-on experience in Data Science, AI/ML, and Deep Learning (DL) domains
Practical exposure to Generative AI (GenAI) and DL frameworks
Strong programming skills in Python and experience with Linux/Windows environments
Proficiency with common data science toolkits:
TensorFlow, Keras, PyTorch, Pandas, NumPy, etc.
Familiarity with GenAI frameworks:
LangChain, LlamaIndex, LangGraph, CrewAI, NeMo Agent Toolkit, NAT
Knowledge of DL & GenAI algorithms:
Transformers, CNN, RNN, etc.
Experience with NLP, Large Language Models (LLMs), and Multimodal Language Models like:
GPT, LLaMa, Mistral, Qwen, Nemotron, etc.
Hands-on experience with Cloud platforms:
Azure, AWS, or GCP
Familiarity with Git, Docker, and Kubernetes
Strong problem-solving skills.
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