AI/ML Engineering Manager
vor 2 Wochen
EnerSys Delaware Inc. is at the forefront of revolutionizing DC Fast Charging Infrastructures, Microgrids, and Industrial Battery Solutions through the innovative application of artificial intelligence and machine learning technologies.
Job PurposeWe are seeking a highly skilled AI/ML Engineering Manager to drive the development and implementation of cutting-edge AI and ML solutions that enable the company's mission to deliver high-quality products that resonate with customers.
In this role, you will be responsible for leading a team of AI and ML engineers in the design, development, and deployment of AI and ML models, frameworks, and applications that drive business value and improve operational economics.
The ideal candidate will have a deep understanding of AI and ML technologies, including deep learning, reinforcement learning, optimization, and machine learning, as well as experience with Azure DevOps services, including Azure Pipelines, Azure Machine Learning, and Azure Artifacts.
Essential Duties and Responsibilities- Lead the design, development, and deployment of AI and ML models, frameworks, and applications that drive business value and improve operational economics.
- Collaborate with technology partners and internal engineering teams on data architecture, standardization, and execution of prioritized use-cases.
- Work closely with different stakeholders to formulate recommendations for improvements and enhancements aimed at using innovative engineering solutions.
- Develop and maintain CI/CD pipelines using Azure DevOps services.
- Deep knowledge of object-oriented/object function scripting languages, such as Python, Java, and C++.
- A minimum of five (5) years of related experience in AI/ML engineering management.
- PhD or MS in Computer/Data Science, Machine Learning, Mathematics, or a relevant field.
EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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