Job description

## Qualifications - The candidate will also have exciting opportunities to build tools deploying the most cutting-edge technologies such as GenAI, LLMs, etc - The successful candidate is a creative thinker with a scientific background in computer science, mathematics, engineering or other STEM field and has expertise in one or more of the following areas: distributed computing with GPUs/TPUs, AI-related cloud services, deep learning frameworks, data science, machine learning and data engineering - Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders - 6+ years of hands-on experience in developing cloud infrastructure and/or writing backend services - The ideal candidate will have a strong ability to architect scalable, effective AI/ML solutions that drive decision-making - Expert coder in languages such as: - Python, Java, JavaScript, C or C ++, Go, Rust, Julia - (Required).Version control and working with multiple team members in Git required - Experience deploying AI models such as LLMs and neural networks etc ## Responsibilities - Cloud Developer AI/ML, Sr - Manager - Analytics Operations will work directly with the Associate Director, Analytics Operations to engineer solutions that will efficiently operationalize AI models, agentic frameworks and other advanced analytics tools using AWS and other cloud services - This role will work closely with small, cross-functional project-driven teams that will include data scientists and business stakeholders to deliver high impact business value - The successful candidate will also have the opportunity to develop custom services and UIs for building the team's full-stack development capabilities - Key Responsibilities The Cloud Developer AI/ML, Sr - Manager - Analytics Operations will partner with business-facing stakeholders to establish core capabilities within the team, namely: - Building Dev Ops infrastructure from the ground-up - Work with a team of developers to build automated and sustainable end-to-end solutions for the most advanced analytics tools - Define best practices and tool adoption - Establish a framework of Ops tools and best coding practices for the entire enterprise based on innovative and business value-driven use cases - Provide strong technical leadership - Coach junior team members on software development concepts and lead code review to ensure adoption of best practices on the team - Drive business value - By identifying and implementing the highest impact use cases, actively drive business insights and the adoption of advanced analytics - Establish the team as a source of innovative AND reliable enterprise tools ## Full Description 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: Cloud Developer AI/ML, Sr. Manager - Analytics Operations Location: Multiple locations including Devens, MA, New Brunswick, NJ or Seattle, WAAt 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 BI&T Analytics Operations team (Global Product Development and Supply Business Insights and Technology) is building best-in-class Dev Ops and MLOps infrastructure for deploying innovative AI and ML solutions that drive business Cloud Developer AI/ML, Sr. Manager - Analytics Operations will work directly with the Associate Director, Analytics Operations to engineer solutions that will efficiently operationalize AI models, agentic frameworks and other advanced analytics tools using AWS and other cloud services. This role will work closely with small, cross-functional project-driven teams that will include data scientists and business stakeholders to deliver high impact business value. The successful candidate will also have the opportunity to develop custom services and UIs for building the team's full-stack development capabilities. The candidate will also have exciting opportunities to build tools deploying the most cutting-edge technologies such as GenAI, LLMs, etc. The successful candidate is a creative thinker with a scientific background in computer science, mathematics, engineering or other STEM field and has expertise in one or more of the following areas: distributed computing with GPUs/TPUs, AI-related cloud services, deep learning frameworks, data science, machine learning and data engineering. Previous Dev Ops experience is desired but not a requirement. Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders. Key Responsibilities The Cloud Developer AI/ML, Sr. Manager - Analytics Operations will partner with business-facing stakeholders to establish core capabilities within the team, namely: Building Dev Ops infrastructure from the ground-up - Work with a team of developers to build automated and sustainable end-to-end solutions for the most advanced analytics tools. Define best practices and tool adoption - Establish a framework of Ops tools and best coding practices for the entire enterprise based on innovative and business value-driven use cases. Provide strong technical leadership - Coach junior team members on software development concepts and lead code review to ensure adoption of best practices on the team. Drive business value - By identifying and implementing the highest impact use cases, actively drive business insights and the adoption of advanced analytics. Establish the team as a source of innovative AND reliable enterprise tools. Qualifications & Experience BA/BS in a scientific or quantitative major required; advanced degree (Master or PhD) preferred. 6+ years of hands-on experience in developing cloud infrastructure and/or writing backend services. Frontend experience and previous Dev Ops or MLOps experience a plus but not required. The ideal candidate will have a strong ability to architect scalable, effective AI/ML solutions that drive decision-making. Relevant experience in high tech or the biopharmaceutical industry preferred but not required. Expert coder in languages such as: Python, Java, JavaScript, C or C ++, Go, Rust, Julia. (Required).Version control and working with multiple team members in Git required. Experience deploying AI models such as LLMs and neural networks etc. to production desired. Experience automating software delivery and testing by writing CI/CD pipelines desired. Proficiency in cloud platforms (AWS (preferred), Azure, Google Cloud), containerization technologies (Kubernetes, Docker) and MLOps tools (MLflow, Kubeflow, MLOps…

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