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Hourly Embedded Machine Learning Jobs in Minnesota

R&M Manufacturing

Machine Operator

Buffalo, MN

$19.50 - $29/hr

Buffalo, MN Job Type: Full-time Pay Range: $19.50 - $29 Hourly - Based on experience; 2nd Shift has ... This may include learning new skills such as setups and programming to cross training in other ...

R&M Manufacturing

Machine Operator

Buffalo, MN · On-site

$19.50 - $29/hr

Buffalo, MN Job Type: Full-time Pay Range: $19.50 - $29 Hourly - Based on experience; 2nd Shift has ... This may include learning new skills such as setups and programming to cross training in other ...

R&M Manufacturing

Machine Operator

Buffalo, MN · On-site

$19.50 - $29/hr

Full-timePay Range: $19.50 - $29 Hourly - Based on experience; 2nd Shift has a $2.50 shift premium ... This may include learning new skills such as setups and programming to cross training in other ...

Medline

Machine Operator I

Mankato, MN · On-site

$17.25 - $25/hr

... learning new skills, and thrive in a collaborative environment. If you're driven to succeed and ... The anticipated salary range for this position: $17.25 - $25.00 Hourly The actual salary will vary ...

Medline

Machine Operator I - 1st Shift

Mankato, MN · On-site

$17.25 - $25/hr

... learning new skills, and thrive in a collaborative environment. If you're driven to succeed and ... The anticipated salary range for this position: $17.25 - $25.00 Hourly The actual salary will vary ...

Medline

Machine Operator I - 1st Shift

North Mankato, MN · On-site

$17.25 - $25/hr

... learning new skills, and thrive in a collaborative environment. If you're driven to succeed and ... The anticipated salary range for this position: $17.25 - $25.00 Hourly The actual salary will vary ...

Medline

Machine Operator I - 1st Shift

Mankato, MN · On-site

$17.25 - $25/hr

... learning new skills, and thrive in a collaborative environment. If you're driven to succeed and ... The anticipated salary range for this position: $17.25 - $25.00 Hourly The actual salary will vary ...

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Hourly Embedded Machine Learning information

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Minnesota?

The most popular types of Embedded Machine Learning jobs in Minnesota are:

What are popular job titles related to Hourly Embedded Machine Learning jobs in Minnesota?

For Hourly Embedded Machine Learning jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Hourly Embedded Machine Learning jobs in Minnesota look for?

The top searched job categories for Hourly Embedded Machine Learning jobs in Minnesota are:

What cities in Minnesota are hiring for Hourly Embedded Machine Learning jobs?

Cities in Minnesota with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you

Machine Assistant

Design Ready Controls, Inc

Champlin, MN • On-site

$20 - $22/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Are you ready to forge a career in manufacturing? Design Ready Controls is a leader in the control panel industry and we are looking for a key player to join our team at our Fabrication facility, Design Ready Fabrications. As a Machine Assistant, you'll be a vital part of our team. You'll work alongside experienced professionals, learning new skills and contributing to the production of high-quality components.

Want to learn more? Submit your resume today!
M-Thur 6:00am-3:15pm, Friday 6-11am. Schedule.
Key Responsibilities
Machine Operations:
  • Shaking apart parts from the flat metal sheet
  • Assist machine operators in setting up and preparing machines for production, ensuring accurate configuration and alignment.
  • Monitor the operation of machines, identifying any irregularities or malfunctions and reporting them to the machine operator or acting supervisor.
  • Perform basic cleaning tasks on machines, including checking for wear and tear.
  • Load raw materials and unload finished products from machines in a timely and efficient manner.
  • Safely operate a forklift after certification
Safety and Compliance:
  • Follow safety protocols and ensure work areas is clean, organized and free of hazards.
  • Wear appropriate personal protective equipment (PPE) and adhere to company safety policies.
  • Report any hazards or safety concerns immediately to management and/or Human Resources.
Collaboration:
  • Work closely with machine operators, production staff, and supervisors to meet production goals.
  • Assist punching out finished goods from sheet metal, storing product, organizing inventory, and packaging product for shipment.
  • Assist with sanding and buffing finished goods.
  • Communicate effectively with team members to ensure smooth operations.
  • Perform other duties as assigned.
Education | Experience
  • High school diploma or equivalent
  • Familiarity with machine operations and/or steel fabrication is preferred.
Abilities | Skills
  • Strong mechanical aptitude and troubleshooting skills
  • Excellent communication and listening skills, with attention to clarity, quality, and precision
  • Proactive, quick-thinking, problem-solving approach to work
  • Ability to use a large variety of hand and power tools with proper safety techniques
  • Physical stamina and strength to perform tasks that require lifting up to 50 pounds occasionally and 15-25 pounds frequently. May be required to bend, kneel and work in various positions on occasion.
  • Ability to sit, stand or walk for up to 9 hours throughout the shift.
  • Exposure to loud noises, heavy machinery, and industrial equipment.
Compensation amp; Benefits:
  • Competitive Hourly Pay :$20.00-$22.00 DOE
  • Comprehensive Benefits Package:
    • Medical, Dental, Vision, HSA, FSA, Dependent Care FSA, Life Insurance, Disability, ADD, 401(k), Paid Time Off, Paid Holidays, Floating Holidays, ESST.
Disclaimer:
This job description is intended to convey information essential to understanding the scope of the position and is not intended to be an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with the position. The position will also assume any other additional responsibilities as assigned by the manager. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Design Ready Controls is an equal opportunity employer.
Design Ready Controls is committed to providing competitive total compensation and benefits packages. This listed range is based upon a full-time schedule. This is a good faith estimate on the applicable range. Base salaries are determined by taking a variety of factors in account, including, but not limited to, candidate qualifications, education, geographic locations, market conditions and internal equity.

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