India - Bangalore, India · 6 months ago
You will research and develop business use cases for integrating LLMs, build LLM-based applications, and evaluate and fine-tune deep learning models. You will also create data pipelines and collaborate with cross-functional teams.
We're committed to bringing passion and customer focus to the business. Key Skills : Python , machine Learning, Deep Learning(Neural Networks, RNN, LSTM, Transformer) , Good Understanding of NLP, Transformer models and their internal architecture/working , TensorFlow / Keras/Pytorch Reponsibility: 1. Research & develop business use cases where we can integrate LLM efficiently. 2. Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases. 3. Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing (NLP). 4. Experiment with cutting-edge AI technologies and algorithms to solve complex problems. 5. Collaborate with cross-functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications. 6. Evaluate the performance of machine learning and deep learning models and fine-tune them for better accuracy and efficiency. 7. Implement best practices for model optimization and hyperparameter tuning. 8. Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward. 9. Discover and investigate open-source models that can be utilized for specific tasks, such as summarization and sentiment detection. 10. Proficiency in creating data pipelines. Experience: 2-4 years Additional skills: Hands on experience with Generative Models (OpenAI / Open-source models). Hands on experience with LLM Frameworks like LangChain and Llama Index. Hands on experience in building applications and solutions using Large Language Models. Must have expertise in Python Language. Expertise in Prompt Engineering. Good to have experience in LLM Fine tuning. Good to have experience with Azure Cloud computing. Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com. Early Talent Learning & Development Inclusion & Engagement Practice Case Study
Posted May 12, 2026
