BioQuest Solutions

Key Responsibility :- Develop and implement open-source and proprietary Large Language Models (LLMs).- Design, train, and deploy machine learning and deep learning algorithms.- Integrate AI capabilities using Langchain, Pinecone, ChromaDB, and other AI frameworks.- Apply data preprocessing techniques (feature engineering, normalization, dimensionality reduction).- Optimize models through experimentation, tuning, and continuous improvement.- Stay current with advancements in AI research, publications, and tools.- Collaborate with backend developers to implement RESTful APIs.- Create and maintain high-quality technical documentation.- Debug and upgrade existing systems, incorporating user feedback.- Write and manage performant, scalable APIs and services.Key expectations :- Proficient in Python and frameworks such as Django REST Framework.- Strong command of AI libraries : NumPy, NLTK, SpaCy, Torch, Sentence-Transformers, TensorFlow, PyTorch, scikit-learn.- Experience with prompt engineering and AI-powered NLP tools.- Familiarity with Generative AI (GenAI) approaches.- Proficient in MySQL, vector databases (e.g., Pinecone, ChromaDB), and API/plugin integrations.- Solid foundation in object-oriented programming, scalable application development, and use of Bitbucket or similar version control tools.- Basic knowledge of front-end technologies: HTML5, CSS3/4, JavaScript, Ajax, XML.- Experience with Agile methodologies and Test-Driven Development (TDD) environments.- Exposure to NLP, Computer Vision, or other specialized AI domains is an advantage (ref:hirist.tech)