Be part of something bigger at BD. Here, you’ll join a driven, agile engineering team working in a startup-like environment that has the backing and resources of a Fortune 500 company. In engineering, you could be involved in everything from operations, production and construction to information technology and maintenance environments, all while analyzing and developing solutions to further our engineering capabilities. You’ll use your talent and track record of solving complex problems to achieve one singular goal: advancing the world of health™. At BD, you can make a true difference of one.
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Job Type:
Full-Time -
Job Level:
Entry to Senior -
Travel:
Varies -
Salary:
Competitive -
Responsibilities
Job Description Summary
ISC Data Analytics ML Engineer will play a key role in the development and implementation of machine learning models within our Integrated Supply Chain (ISC) Data analytics teams. This position requires a deep understanding of machine learning techniques, data analytics, and supply chain processes. The ML Engineer will collaborate with cross-functional teams to derive insights from complex datasets, develop predictive models, and help optimize various supply chain functions. This role demands strong technical expertise, a passion for problem-solving, and the ability to communicate complex concepts to non-technical stakeholders.Job Description
Model Development and Deployment: Design, develop, and deploy machine learning models to address supply chain challenges
• Data Analysis: Perform extensive data analysis to identify patterns, trends, and insights that can drive strategic decisions within the supply chain.
• Collaboration: Work closely with Solution Architect, Data scientists, Data engineers, and supply chain SME to ensure the seamless integration of ML models into existing systems and processes.
• Optimization: Develop algorithms to optimize supply chain performance, reduce costs, and improve efficiency.
• Reporting: Create comprehensive documentation and reports to communicate findings and model performance to stakeholders.
• Continuous Improvement: Stay updated with the latest advancements in machine learning and supply chain analytics and integrate new techniques into ongoing projects.
• MLOps: Implement MLOps practices to streamline the deployment and monitoring of ML models, ensuring robustness and reliability.
• Training and Mentoring: Provide guidance and mentorship to junior team members, promoting a culture of learning and innovation within the team.
Required Skills
Optional Skills
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Primary Work Location
SGP The StrategyAdditional Locations
Work Shift
Success Profile
What makes a successful Engineer Professional at BD? Check out the top traits we’re looking for and see if you have the right mix.
- Collaborative
- Conceptual
- Creative
- Imaginative
- Problem-solver
- Team player
Advancing the world of health™
BD is one of the largest global medical technology companies in the world and is advancing the world of health™ by improving medical discovery, diagnostics and the delivery of care. BD helps customers enhance outcomes, lower costs, increase efficiencies, improve safety and expand access to health care.