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.
Skills Required
Machine Learning, Nlp, Git, Python