We are the people who give possibilities purpose

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Job Description

Job Summary**

The AI Operations Analyst at Becton, Dickinson and Company will play a crucial role in ensuring the efficient and effective deployment, monitoring, and optimization of AI/ML models across various business units. This individual will bridge the gap between data science, engineering, and business operations, focusing on the reliability, performance, and ethical use of AI solutions.

Job Responsibilities**

* Monitor the performance and health of deployed AI/ML models, identifying anomalies, biases, and drift.
* Develop and implement MLOps best practices, including continuous integration/continuous deployment (CI/CD) pipelines for AI models.
* Collaborate with data scientists and engineers to troubleshoot model issues, retrain models, and implement necessary updates.
* Design and maintain dashboards and reporting tools to visualize AI model performance metrics and operational insights.
* Participate in the evaluation and selection of AI/ML platforms and tools, ensuring alignment with company standards and security protocols.
* Document AI model lifecycles, operational procedures, and incident response plans.
* Support the integration of AI solutions into existing business processes and systems.
* Conduct root cause analysis for AI-related incidents and recommend preventative measures.
* Stay abreast of industry trends in MLOps, AI ethics, and responsible AI development.
* Communicate effectively with technical and non-technical stakeholders regarding AI model performance and operational status.

Job Qualifications**

* Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field. Master's degree preferred.
* 1+ years of experience in MLOps, AI operations, data engineering, or a similar role focused on AI/ML model deployment and monitoring.
* Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
* Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Sagemaker, Azure ML).
* Strong understanding of machine learning concepts, model evaluation metrics, and common algorithms.
* Experience with containerization technologies (e.g., Docker, Kubernetes).
* Knowledge of data warehousing, ETL processes, and database technologies.
* Excellent analytical, problem-solving, and communication skills.
* Ability to work independently and collaboratively in a fast-paced environment.

Why Join Us?

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.

We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.

To learn more about BD visithttps://bd.com/careers.

Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.

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