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Job Details
Key Responsibilities
• Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation,
summarization, translation, and question-answering tasks.
• Work with transformer-based architectures, understanding self-attention
mechanisms, token embeddings, and model interpretability.
• Implement custom tokenization techniques, text embedding models (SentenceBERT, OpenAI Embeddings, Cohere, etc.), and effective inference optimizations.
• Apply prompt engineering and prompt tuning techniques to optimize model
responses.
• Work with LangChain and LLM orchestration frameworks to build AI-powered
applications.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases
like FAISS,
Pinecone, Weaviate, ChromaDB.
• Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs.
Technical Skills
• Proficiency in Python
• Experience with Hugging Face Transformers, LangChain, OpenAI APIs
• Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM
• Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone,
Weaviate, ChromaDB
• Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA)
• Deep understanding of self-attention, positional embeddings, sequence modeling
• Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text
embeddings
• Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors etc
• Expertise in gradient descent, backpropagation, activation functions, loss
functions
• Experience with dimensionality reduction techniques for feature selection
• Knowledge of tim
📌 AI Developer 2 (Pune)
🏢 Cencora
📍 Pune