MLOps Engineer, Manager - Analytics Operations

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: careers.bms.com/working-with-us.

Position: MLOps Engineer, Manager - Analytics OperationsLocation: 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 DevOps 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 DevOps/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 GoogleCloud).
• Set up and maintain monitoring systems to track model performance, response time, error rates and resource utilization (CloudWatch, 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+ years of hands-on experience in backend development, cloud or ML engineering. Previous DevOps or MLOps experience a plus but not required. The ideal candidate will have both experience deploying ML models at scale but also have acquired a set of best practices along the way. Relevant experience in high tech or the biopharmaceutical industry preferred but not required.
• Expert coder in languages such as: Python, Java, C or C ++, Go, Rust, Julia. (Required).
• Version control and working with multiple team members in Git required.
• Proficiency in cloud platforms (AWS (preferred), Azure, Google Cloud), containerization technologies (Kubernetes, Docker) and MLOps tools (MLflow, MLOps platform) is desired.
• Knowledge of deep learning frameworks (PyTorch, Tensorflow) is desired.
• Knowledge of CI/CD tools and practices (Jenkins, GitLab CI, CircleCI) is desired.
• Experience with data engineering using SQL, Spark, ETL/ELT and data pipelines a plus.
• Strong project management skills with demonstrated ability to lead multiple projects and balance shifting priorities.
• Excellent interpersonal, collaborative, team-building, written and verbal communication skills to ensure effective collaborations within cross-functional teams.

Why You Should Apply

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
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:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

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