Job
Description
About Bristol Myers Squibb: At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Position Summary: The GPS Data & Analytics Sr. Software Engineer (AI/ML) role is accountable for developing AI/ML & Gen AI Solutions, you will play a pivotal role in designing, developing, and deploying advanced AI/ML Models & Gen AI solutions in Global Product Development and Supply – Data and Analytics Enablement organization. Position Responsibilities Key Responsibilities: Design, develop, and implement machine learning models and AI algorithms to solve complex business problems. Implement Retrieval-Augmented Generation (RAG): Design and develop systems that combine retrieval-based methods with generative models to enhance the accuracy and relevance of AI-generated content. Utilize Vector Embeddings: Develop and optimize vector embeddings for various applications, including semantic search, recommendation systems, and natural language understanding. Leverage LLMs: Integrate and fine-tune ChatGPT or similar large language models to create conversational AI solutions, enhancing user interactions and automating customer support. Collaborate with other engineers to understand requirements and deliver high-quality solutions. Optimize and fine-tune machine learning models for performance, scalability, and accuracy. Conduct research and stay up-to-date with the latest advancements in AI and machine learning technologies. Worked/ Posses Knowledge on Agentic Design Patterns & any one of the frameworks like Bedrock, Crew AI, Langsmith, Agnos, Autogen, etc Mentor and guide junior engineers, providing technical leadership and fostering a culture of continuous learning. Participate in code reviews, design discussions, and contribute to best practices for software development. Develop and maintain documentation for AI/ML models, algorithms, and processes. Work with large datasets, perform data preprocessing, feature engineering, and model evaluation. Deploy and monitor machine learning models in production environments, ensuring reliability and robustness. Experience with natural language processing (NLP), computer vision, or other specialized AI domains. Show more Show less
