Strategic AI/ML Director

vor 1 Monat

Zug, Zug, Schweiz EnerSys Delaware Inc. Vollzeit
Job Description

EnerSys Delaware Inc. is a global leader in stored energy solutions for industrial applications, with over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries.

We are seeking an experienced Strategic AI/ML Director to drive the development of scalable, secure, and advanced data and analytics capabilities using AI/ML technologies to automate and augment decision-making across our organization.

Key Responsibilities
  • Drive the product roadmap for AI/ML initiatives, collaborating with technology partners and internal engineering teams on data architecture, standardization, and execution of prioritized use cases.
  • Work closely with stakeholders (project managers, system architects, data scientists, data engineers, and AI/ML engineers) to formulate recommendations for improvements and enhancements aimed at using innovative engineering solutions.
  • Leverage cutting-edge technologies, including Deep Learning, Reinforcement Learning, Optimization, and Machine Learning, to address complex challenges such as Energy Cost Optimization, Predictive Maintenance, Battery Health Estimation, and Time Series Forecasting.
Requirements
  • PhD or MS in Computer/Data Science, Machine Learning, Mathematics, or a relevant field.
  • A minimum of five years of related experience in AI/ML engineering management.
  • In-depth knowledge of Azure DevOps services, including Azure Pipelines, Azure Machine Learning, and Azure Artifacts.
  • Experience with design, implementation, and maintenance of CI/CD pipelines.
  • Deep knowledge of object-oriented/object function scripting languages: Python, Java, C++ etc.
  • Demonstrable understanding of networking/distributed computing environment concepts.
  • Experience with TensorFlow, Caffe, OpenCL, or any Machine Learning and Data Science framework is a plus.
  • Knowledge and experience in IP communication (Websocket, MQTT...) and minimum two of CAN, I2C, SPI, RS232/485.
  • Deep knowledge of SQL databases and ability to execute queries quickly.
  • Knowledge of data warehousing and data modeling.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Estimated Salary

$150,000 - $200,000 per year, depending on experience.

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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