MLOps Engineer, Manager - Analytics Operations
Listed on 2026-02-12
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IT/Tech
Data Science Manager, AI Engineer, Data Analyst, Machine Learning/ ML Engineer
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About
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: .
Position
MLOps Engineer, Manager - Analytics Operations
Location:
Multiple locations including Devens, MA, New Brunswick, NJ or Seattle, WA
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
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 value at BMS.
The MLOps Engineer, Manager - Analytics Operations will work directly with the Associate Director, Analytics Operations to deploy and manage ML models in production environments. This role will serve as the bridge between machine learning development and operations and work closely with small, cross-functional project-driven teams that include developers, data scientists and business stakeholders to deliver high impact business value. The successful candidate will build robust pipelines and infrastructure that enable efficient development, deployment and monitoring of machine learning solutions.
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: backend development with a focus on cloud or ML model deployment, deep learning frameworks, data science, machine learning and data engineering. Previous Dev Ops/MLOps 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 MLOps Engineer, Manager - Analytics Operations will partner with business-facing stakeholders to establish core capabilities within the team, namely:
Design, implement, and maintain CI/CD pipelines for machine learning models.
Containerize ML models using Docker/Kubernetes and deploy them on cloud platforms (AWS (preferred), Azure or Google Cloud).
Set up and maintain monitoring systems to track model performance, response time, error rates and resource utilization (Cloud Watch, Grafana, ELK stack).
Establish alerting and notification systems to quickly detect anomalies or deviations from expected behavior.
Drive business value - By 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.
4+…
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