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Manager Edge Computing Jobs in Wisconsin (NOW HIRING)

Arista Networks

Major Account Manager

Milwaukee, WI · On-site

This role typically reports to a Regional Sales Manager or Area VP of Sales. What You'll Do We are ... Networking, SDN, NFV, Switching, Network Automation, Routing, Data Center, Edge Computing, Network ...

Gehc

Principal Program Manager

Waukesha, WI · Hybrid

Demonstrated expertise in edge computing, cloud-native architectures (AWS preferred), distributed ... Extensive experience in managing NPI Programs within the Healthcare industry (from concept to ...

GE HealthCare

Principal Program Manager

Waukesha, WI · On-site

Demonstrated expertise in edge computing, cloud-native architectures (AWS preferred), distributed ... Extensive experience in managing NPI Programs within the Healthcare industry (from concept to ...

Faith Technologies

Industry 4.0 Manager

Menasha, WI · Hybrid

Your role involves managing a high-performing technical team to deliver solutions in areas such as edge computing, predictive maintenance, real-time monitoring, and virtual commissioning. You will ...

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Manager Edge Computing information

What is the difference between Manager Edge Computing vs Network Engineer?

AspectManager Edge ComputingNetwork Engineer
CredentialsBachelor's in Computer Science or related, certifications like Cisco, cloud certificationsBachelor's in Computer Engineering, Cisco or CompTIA certifications
Work EnvironmentOversees edge computing projects, manages teams, collaborates with IT and operationsDesigns, implements, and maintains network infrastructure, often in data centers or enterprise settings
Industry UsageTechnology, manufacturing, IoT sectors focusing on edge solutionsTelecommunications, IT services, enterprise networks

The Manager Edge Computing focuses on leading edge computing initiatives, managing teams, and strategic planning. In contrast, a Network Engineer primarily designs and maintains network infrastructure. Both roles require technical certifications and work in related environments, but their responsibilities differ in scope and focus.

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Manager Edge Computing jobs near you

Machine Learning Engineer II

Techtronic Industries - TTI

Brookfield, WI • On-site

Full-time

Posted 8 days ago

Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

94th of 418 rated machine equipment manufacturers

Job description

Job Summary:
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Techtronic Industries Company Limited (“TTI”, or the “Company”), founded in 1985 by German entrepreneur Horst Julius Pudwill, is a world leader in cordless technology. Founded in 1985, the company is headquartered in Kwai Tsing, HKG, with a team of 10001+ employees. The company is currently Late Stage.

What Techtronic Industries TTI employees say

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