AI Developer 2
AmerisourceBergen (company site, opens in a new tab)2+ yrsPuneOn-siteDirect career pageEst. 10–20 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and fine-tune large language models (LLMs) such as GPT, BERT, T5, LLaMA, and Mistral for diverse NLP tasks including text generation, summarization, translation, and question answering.
- Design and implement AI-powered applications using transformer architectures, prompt engineering, LangChain, and Retrieval-Augmented Generation (RAG) pipelines with vector databases like FAISS and Pinecone.
- Optimize model performance including training, fine-tuning, inference efficiency, and deployment with REST APIs and real-time serving techniques.
Minimum Requirements
- Bachelor's degree in computer science, software engineering, data science, machine learning, or related field, or equivalent experience.
- Minimum 2 years of experience in machine learning engineering, MLOps, platform engineering, DevOps, software engineering, or related technical roles.
- Proficiency in Python and experience with Hugging Face Transformers, LangChain, and OpenAI APIs.
- Experience with transformer model architectures, NLP techniques (NER, topic modeling), and Retrieval-Augmented Generation tools (FAISS, Pinecone, Weaviate, ChromaDB).
Ideal Candidate Profile
- Experienced in practical application and fine-tuning of diverse transformer-based LLM architectures for business use cases with measurable impact.
- Skilled in building scalable AI pipelines including prompt engineering, model interpretability, and integration with vector databases for RAG.
- Technically strong in Python and machine learning frameworks, with ability to optimize and serve models in production environments using API-based deployment methods.