Trinity - Generative AI Engineer - Machine Learning

<p><p><b>Job Objective :</b><br/><br/>We are seeking a highly skilled and motivated GenAI Application Engineer with a strong foundation in traditional Machine Learning (ML) and hands-on experience in Generative AI (GenAI).

The ideal candidate will contribute to the design, development, and deployment of AI-driven solutions across business use Responsibilities :</b></p><br/>- Design and implement ML models including regression, classification, clustering, and optimization algorithms.<br/><br/>- Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation.<br/><br/>- Collaborate with cross-functional teams to identify opportunities for AI integration into business processes.<br/><br/>- Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex).<br/><br/>- Fine-tune and optimize models for performance, scalability, and accuracy.<br/><br/>- Develop and maintain robust data pipelines and workflows.<br/><br/>- Stay updated with the latest advancements in AI, ML, and Skills :</b></p><br/>- Strong programming skills in Python.<br/><br/>- Solid understanding of traditional ML models and statistical techniques.<br/><br/>- Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases.<br/><br/>- Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace).<br/><br/>- Familiarity with prompt engineering and LLM fine-tuning.<br/><br/>- Exposure to cloud platforms (Azure Qualifications :</b></p><br/>- Masters degree in Computer Science, Data Science, Engineering, or related field.<br/><br/>- Experience in the life sciences or healthcare domain is a plus.<br/><br/>- Strong communication and stakeholder management skills.<br/><br/>- Ability to work in a fast-paced, collaborative environment.</p><br/></p> (ref:hirist.tech)