We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Associate Consultant - Data Science at Trinity Life Sciences. Location Information: Prestige Shantiniketan, Whitefield - Bengaluru, (Remote). . Job Details. Job Location Prestige Shantiniketan, Whitefield - Bengaluru, Remote Type Hybrid. Description. . Job Title: GenAI Application Engineer (Associate Consultant). . Location:. Bangalore / Chennai / NCR (Hybrid). . Experience:. 3.5 to 5.5 years. . Employment Type:. Full-time. . Job Objective:. . 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 cases.. . 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).. . . Qualifications. . Preferred Qualifications:. . . Master’s degree in Computer Science, Data Science, Engineering, or related field.. . Experience in the life sciences or healthcare domain is a plus.. . Strong communication and stakeholder management skills.. . . Ability to work in a fast-paced, collaborative environment.. .