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.
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.
As a Machine Learning Engineer II, you will be responsible for creating and validating machine learning models while collaborating with cross-functional teams to enhance power tool solutions.
As a Machine Learning Engineer II, you will be responsible for creating and validating machine learning models while collaborating with cross-functional teams to enhance power tool solutions.
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
WI · On-site
$105.50 - $132.20/hr
As a Machine Learning Engineer, you will play a crucial role in developing and deploying ... and 2 paid days for volunteer time each calendar year. Salary Range: 105,500 - 132,200 Equal ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have 1-2 years of industry experience using machine learning to solve real-world problems with ...
Machine Learning Engineer Two information
Are machine learning engineers still in demand?
Yes, machine learning engineers are in high demand across various industries due to the increasing adoption of AI and data-driven solutions. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.
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For Machine Learning Engineer Two jobs in Wisconsin, the most frequently searched job titles are:
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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:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .
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:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .