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Battery Machine Learning Jobs in Wisconsin (NOW HIRING)

Milwaukee Tool

Sr Electrical Engineer

Brookfield, WI · On-site

$101K - $132K/yr

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... Fundamental understanding of lithium-ion battery charging principles and associated power ...

Milwaukee Tool

Sr Electrical Engineer

Brookfield, WI

$101K - $132K/yr

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... Fundamental understanding of lithiumion battery charging principles and associated power conversion ...

Nestle

Mechanic Maintenance I

Medford, WI

$32.90/hr

... machinery, and other manufacturing equipment * Repair and use of material handling equipment including manual pallet jacks, battery operated pallet jacks, stand up and sit-down trucks, scissors lifts ...

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Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What is battery machine learning and what do professionals in this field do?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are some common challenges faced by professionals working in Battery Machine Learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What are popular job titles related to Battery Machine Learning jobs in Wisconsin? For Battery Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in Wisconsin look for? The top searched job categories for Battery Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Battery Machine Learning jobs? Cities in Wisconsin with the most Battery Machine Learning job openings:
Battery Machine Learning jobs near you
Sr. Electrical Engineers - NPD Lighting & Lifestyle

Sr. Electrical Engineers - NPD Lighting & Lifestyle

Milwaukee Tool

Milwaukee, WI

$105K - $137K/yr

Other

Posted 22 days ago

Job description

Sr Electrical Engineer

Job Description:

Sr. Electrical Engineers - NPD Lighting & Lifestyle

551 N. 5th Street, Milwaukee, WI 53203

Job Description

Work with a cross-functional team to identify features, functions, and requirements for conceptual electronics systems.

Lead the design of electronic systems by creating prototypes and concept models.

Understand machine learning to support integration with embedded electrical systems and sensor interfaces.

Draw concise, logical, written conclusions from experiments based on data analysis.

Design and debug Bluetooth and wireless communication interfaces in embedded systems.

Lead product development from concept to production.

Use laboratory equipment typically utilized in an electronics development environment.

Identify tradeoffs and solutions to problems in a high urgency environment.

Gain knowledge, understanding, and implementation of any new technologies relevant to the company's industry.

Supervise the work of 2-3 Electrical Engineers.

Master's degree in Electrical Engineering, related engineering field, or foreign degree equivalent, and 2 years of relevant experience as an Electrical Engineer, or alternate related acceptable occupation; OR Bachelor's degree in Electrical Engineering, related engineering field, or foreign degree equivalent, and 5 years of relevant experience as an Electrical Engineer, or alternate related acceptable occupation.

Work or academic experience must have included:

1. Power electronics, motors, and motor control systems.

2. Analog circuitry and embedded systems, including power electronics and sensors.

3. Firmware development and programing best practices, including Embedded C.

4. USB power systems and battery charging systems.

5. Electromagnetic Compliance (EMC) and Electromagnetic Interference (EMI).

6. Machine Learning.

7. Schematic design tools (including Altium), PCBA layout tools, circuit simulation, system design and architecture, and requirements creation and management.

10% of domestic and international travel required.

#LI-DNI

Milwaukee Tool is an equal opportunity employer.

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