Senior Specialist, AI Developer GBO IT

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 rich in diversity. 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.

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 

At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology.  We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care.    

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!  

Desired Candidate Characteristics:  

• Have a strong commitment to a career in technology with a passion for healthcare   
• Ability to understand the needs of the business and commitment to deliver the best user experience and adoption   

• Able to collaborate across multiple teams    
• Demonstrated leadership experience   
• Excellent communication skills   
• Innovative and inquisitive nature to ask questions, offer bold ideas and challenge the status quo   
• Agility to learn new tools and processes  

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, enhance user interactions and automating customer support.
• Build backend APIs in python and collaborate with Front End Engineers to integrate them with Web Applications.
• 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.
• 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.

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Qualifications & Experience  

• Bachelor’s or Master’s degree in Computer Scien