Data Scientist, AI EngineeringTrinity Life Sciencesfull-timeRequired skillsLangChainPythonAzureclusteringcross-functionalNLPregressionAbout the role Trinity Life Sciences Website: trinitylifesciences.com Job details: We're committed to bringing passion and customer focus to the business.Key Responsibilities Design and implement ML models including regression, classification, clustering, and optimization algorithms. Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation. Collaborate with cross-functional teams to identify opportunities for AI integration into business processes. Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex). Fine-tune and optimize models for performance, scalability, and accuracy. Develop and maintain robust data pipelines and workflows. Stay updated with the latest advancements in AI, ML, and NLP.Required Skills Strong programming skills in Python. Solid understanding of traditional ML models and statistical techniques. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases. Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace). Familiarity with prompt engineering and LLM fine-tuning. Exposure to cloud platforms (Azure preferred). Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.