Bristol Myers Squibb (BMS) is looking to develop and implement scalable AI solutions to address complex business challenges across various departments including Finance, HR, Law, Compliance, and Learning. The goal is to create AI/Gen AI tools that are operationalized effectively, automate complex tasks, augment decision-making for leadership, and improve employee support through chatbots and virtual assistants.
Requirements
- Minimum of 2 years of hands-on experience working in AI or ML, data science, data integration, and reporting.
- Minimum of 1 years of hands-on experience working with LLMs
- Experience with cloud-based environments (AWS, Azure, Google AI, etc.).
- Proficiency in Python/R and SQL
- Hands on experience with designing and deploying machine learning models using Scikit-Learn, Tensorflow, Pytorch, etc
- Experience with Git
- Familiarity with additional AI frameworks and tools beyond those listed (e.g. Agentic, LLMs, Computer Vision, text-to-code etc).
Responsibilities
- Development and implementation of scalable AI solutions to address complex business challenges in the area of Finance , HR , Law , Compliance and Learning.
- Develop new AI/Gen AI tools aligned with business objectives and ensure they are operationalized effectively.
- Build and optimize AI agents that can autonomously handle complex tasks, make decisions, and deliver insights in real-time
- Develop, integrate, and continuously improve AI-powered chatbots and virtual assistants to support employees across various teams
- Focus on augmenting the decision-making capabilities of leadership teams by providing AI-powered insights that inform strategic initiatives for BMS
- Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
- Develop standard AI frameworks for streamlined deployment practices
Other
- Excellent communication and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
- Ability to work collaboratively with technical peers across locations (US, EU, India)
- Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.
- Exceptional analytical skills with substantial knowledge of AI
- Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
