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.
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.
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 cutting‑edge machine learning models and solutions to enhance various aspects of our business operations ...
WI · On-site
$73.95 - $108.08/hr
Als Machine Learning Engineer bouw jij de modellen die energie echt slimmer maken. Je krijgt toegang tot een schat aan real-time data en de vrijheid om modellen van experiment tot productie te ...
WI · On-site
$73.95 - $108.08/hr
Als Machine Learning Engineer bouw jij de modellen die energie echt slimmer maken. Je krijgt toegang tot een schat aan real-time data en de vrijheid om modellen van experiment tot productie te ...
WI · On-site
$95 - $138/hr
Software Machine Learning Engineer Meet the team Cisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our ...
New
WI · On-site
$95 - $138/hr
Software Machine Learning Engineer Meet the team Cisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our ...
New
WI · On-site
$110 - $160/hr
You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role ...
WI · On-site
$110 - $160/hr
You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role ...
WI · On-site
$140 - $180/hr
Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...
WI · On-site
$140 - $180/hr
Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...
$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
Senior MLOps Engineer (Remote)
Menomonee Falls, WI · On-site
$104K - $144K/yr
... a Machine Learning Engineer with a proven track record of successful project delivery * In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI ...
Senior MLOps Engineer (Remote)
Menomonee Falls, WI · On-site
$104K - $144K/yr
... a Machine Learning Engineer with a proven track record of successful project delivery * In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver innovative technologies and accelerate product development in the Power Tool Accessories business ...
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver innovative technologies and accelerate product development in the Power Tool Accessories business ...
$107K - $139K/yr
Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...
$107K - $139K/yr
Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...
Freelance Google Machine Learning Engineer information
What does a freelance Google Machine Learning Engineer do?
A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.
What are the key skills and qualifications needed to thrive as a freelance Google Machine Learning Engineer?
To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.
What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?
Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.
What is the difference between Freelance Google Machine Learning Engineer vs Freelance Data Scientist?
| Aspect | Freelance Google Machine Learning Engineer | Freelance Data Scientist |
|---|---|---|
| Credentials | Knowledge of Google Cloud ML tools, programming skills in Python, TensorFlow | Statistical expertise, programming in Python/R, data analysis skills |
| Work Environment | Cloud platforms, AI/ML projects, collaboration with developers | Data analysis, reporting, model development, client communication |
| Industry Usage | Tech companies, AI startups, cloud service providers | Finance, healthcare, marketing, research organizations |
While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.
What are popular job titles related to Freelance Google Machine Learning Engineer jobs in Wisconsin?
For Freelance Google Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Freelance Google Machine Learning Engineer jobs in Wisconsin look for?
The top searched job categories for Freelance Google Machine Learning Engineer jobs in Wisconsin are:
- Contract Computer Vision Deep Learning Engineer
- Intern Computer Vision Deep Learning Engineer
- Ai Machine Learning Drug Discovery
- Internship Aws Machine Learning
- Remote Machine Learning Compiler Engineer
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- Junior Machine Learning Compiler Engineer
- No Experience Nvidia Machine Learning
- Machine Learning Engineer Two
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What cities in Wisconsin are hiring for Freelance Google Machine Learning Engineer jobs?
Cities in Wisconsin with the most Freelance Google Machine Learning Engineer job openings:
Job description
Job Summary:
Milwaukee Tool is a company that invests in engineering resources to design and develop leadership in electronic capabilities. 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.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams to make power tool solutions
• innovate and explore new machine learning solutions to deploy into Milwaukee products
• demonstrate excellent problem-solving skills
• exhibit critical thinking and thrive under pressure in a dynamic environment
• show strong technical communication skills
• exhibit fundamental project management abilities
• maintain a proactive sense of ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
Required:
• Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.
• 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 Late Stage.
Milwaukee Tool is a company that invests in engineering resources to design and develop leadership in electronic capabilities. 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.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams to make power tool solutions
• innovate and explore new machine learning solutions to deploy into Milwaukee products
• demonstrate excellent problem-solving skills
• exhibit critical thinking and thrive under pressure in a dynamic environment
• show strong technical communication skills
• exhibit fundamental project management abilities
• maintain a proactive sense of ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
Required:
• Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.
• 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 Late Stage.