Technical Skills Experience:
- Programming Languages: Proficiency in Python for AI/ML model development..
- Machine Learning Deep Learning: Hands-on experience with TensorFlow and PyTorch for model training and deployment.
- Data Science Analytics: Strong knowledge of scikit-learn, NumPy, and pandas for data processing and manipulation.
- Natural Language Processing (NLP): Expertise in text preprocessing, tokenization, embeddings, and NLP techniques.
- Large Language Models (LLMs): Experience with transformer models like GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering.
- Retrieval-Augmented Generation (RAG): Knowledge of RAG pipelines and experience with vector databases such as FAISS, Pinecone, or Chroma.
- Multi-Agent Systems: Familiarity with multi-agent frameworks like LangChain, LangGraph, or CrewAI.
- Data Handling Databases: Strong skills in data preprocessing, feature engineering, and working with SQL/NoSQL databases.
- API Development: Experience in building and deploying APIs using FastAPI, Flask, or Django.
- Version Control Collaboration: Strong understanding of Git/GitHub for version control and team collaboration.
- Hugging Face: Experience with Hugging Face for model training, deployment, and inference.
