Senior Software Engineer - AI/ML

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

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. Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Approximately 5-7 years of experience in software engineering with a focus on AI and machine learning. Strong proficiency in programming languages such as Python, JS/React. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc. Solid understanding of machine learning algorithms, data structures, and software design principles. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes). Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Excellent problem-solving skills and the ability to work independently and as part of a team. Experience with version control systems (e.g., Git) and agile development methodologies. Ideal Candidates Would Also Have: Prior experience in global life sciences especially in the GPS functional area will be a plus Experience working internationally with a globally dispersed team including diverse stakeholders and management of offshore technical development team(s) Strong communication and presentation skills Other Qualifications: Bachelor’s degree in AI, Data Science, Computer Science, Information Systems, Computer Engineering or equivalent is preferred Experience in