Sr Software Engineer - AI/ML

Senior Software Engineer - AI/ML

Job Summary

With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

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.

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, JavaScript/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 implementing Agentic AI solution or MCP is preferred