3.0 - 4.0 years

3 - 4 Lacs

Ahmedabad, Gujarat, India

On-site

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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-AugmentedGeneration (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.

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