Data Scientist - AI/ML Developer

Must-Have Skills:

• Python: Proficiency in Python, especially in libraries for machine learning and NLP (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face).
• Generative AI (GenAI): Hands-on experience with GenAI techniques such as text generation, image generation, and reinforcement learning.
• LangChain: Experience with LangChain or other frameworks for building applications with LLMs, including chaining LLMs and integrating with external data sources.
• Machine Learning: Strong understanding of machine learning principles, algorithms, and model deployment.
• Natural Language Processing (NLP): Expertise in NLP tasks like text classification, named entity recognition, text summarization, and syntactic/semantic analysis.
• Large Language Models (LLMs): Knowledge and experience working with LLMs (e.g., GPT-3, GPT-4) for both research and production environments.

Good-to-Have Skills:

• ReactJS: Experience with ReactJS for building dynamic user interfaces, particularly in the context of AI-powered web applications.
• TypeScript: Familiarity with TypeScript for building robust and scalable front-end applications.