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Mobile Machine Learning Jobs in Wisconsin (NOW HIRING)

American Dining Creations

Dish Room Attendant

Appleton, WI · On-site

$15 - $20.50/hr

Sorts and washes dishes, pots, and utensils with a dish machine and 3-compartment sink ... Learning and advancement opportunities American Food & Vending is an Equal Opportunity Employer.

Nwtc

Part-Time HVAC R Instructor

Green Bay, WI · On-site

$45/hr

Responsible for planning, preparing, and delivering instruction and assessment of learning outcomes ... Technological fluency with Apple iPads, mobile devices, and mobile apps specific to the HVAC ...

BASF Corporation

Chemical Operator

Appleton, WI · On-site

$26 - $28/hr

... learning and development. Where the chemistry happens... The role of the Chemical Operator is to ... Basic Computer Skills Machines & technologies you'll use: * Forklifts ID:qnkTyx

Sun RV Resorts

Resort Groundskeeper

Glenbeulah, WI

$14/hr

Proficient skills in operating various hand tools, power equipment, and commercial machinery ... Access to hundreds of online learning modules via Sun University * Vacation RV site rent discounts ...

Sun, Inc.

Resort Groundskeeper

Glenbeulah, WI · On-site

$14/hr

Proficient skills in operating various hand tools, power equipment, and commercial machinery ... Access to hundreds of online learning modules via Sun University * Vacation RV site rent discounts ...

Sun Outdoors

Resort Groundskeeper

Glenbeulah, WI · On-site

$14/hr

Proficient skills in operating various hand tools, power equipment, and commercial machinery ... Access to hundreds of online learning modules via Sun University * Vacation RV site rent discounts ...

Wellpoint Care Network

Resource Navigator - CSBG

Milwaukee, WI · On-site

$19.50 - $25.50/hr

At Wellpoint Care Network, our mission is to facilitate equity, learning, healing, and wellness by ... Conduct community outreach and provide mobile intake services to community agencies, senior centers ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Wisconsin

Mobile Machine Learning information

See Wisconsin salary details

$12

$25

$120

How much do mobile machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for mobile machine learning in Wisconsin is $25.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $20.38 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

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

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.
What are the most commonly searched types of Machine Learning jobs in Wisconsin? The most popular types of Machine Learning jobs in Wisconsin are:
What are popular job titles related to Mobile Machine Learning jobs in Wisconsin? For Mobile Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Wisconsin look for? The top searched job categories for Mobile Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Mobile Machine Learning jobs? Cities in Wisconsin with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Implementation Lead Analyst

Implementation Lead Analyst

Ztek Consulting INC

Milwaukee, WI • On-site

Contractor

Posted 10 days ago

Job description

Job Title: Implementation Lead Analyst
Duration: 6-12 months
Location: Remote
Work Type:  
Rate: Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc.
Skills :
• Senior Lead Business Analyst and SME specialising in item processing and financial industry implementations for banking and payments clients
• Provides expert-level requirements analysis, solution scoping, and business advisory across add-on, work order, and multi-product implementation projects
• Bridges business and technical teams — translates complex client item processing requirements into clear, actionable, and supportable solutions
• Client-facing role requiring excellent communication, stakeholder management, and consultative engagement skills with US-based banking clients
• Must work US business hours; after-hours and weekend support required for newly implemented clients for a minimum of 2 weeks post go-live
Project Management & Delivery
• Strong project management skills — plan, track, and deliver add-on and work order projects end-to-end
• Manage project scope, timeline, risks, and stakeholder expectations across concurrent engagements
• Cross-team collaboration — coordinate between implementation, product, technical, and client teams
• Serve as primary point of accountability for requirements sign-off and solution acceptance
• Escalation management and proactive communication in deadline-driven client environments
Domain & Industry Knowledge
• Excellent item processing knowledge — end-to-end understanding of the banking items processing lifecycle
• Excellent financial industry knowledge — payments, clearing, settlement, and banking operations expertise
• Deep understanding of item processing workflows across capture channels: branch, teller, distributed, merchant, and mobile
• Knowledge of remittance, ACH, check clearing, Image Cash Letter (ICL), and return item processing frameworks
• Familiarity with FIS imaging and payments platforms to contextualise requirements within platform capabilities
Documentation & Standards
• Strong documentation skills — produce high-quality BRDs, FRDs, solution design documents, and process flows
• Develop and maintain standards, templates, and best-practice guidelines for the BA practice
• Create and own project artefacts including scope statements, decision logs, and sign-off documentation
• Contribute to knowledge management, lessons learned, and continuous improvement initiatives
• Ensure documentation meets client, compliance, and internal quality standards
Business Analysis & Requirements
• Excellent item processing requirements analysis — elicit, document, validate, and manage business and functional requirements
• Lead requirements workshops, discovery sessions, and solution design reviews with client stakeholders
• Translate client business needs into detailed functional specifications and solution designs for technical teams
• Add-on and work order project scoping — define scope, effort, dependencies, and acceptance criteria
• Gap analysis, impact assessment, and risk identification across complex multi-product engagements
• Requirements traceability and change management throughout the project lifecycle
Leadership, Soft Skills & Work Requirements
• Senior Lead designation — mentors and guides junior analysts; acts as BA practice SME and escalation resource
• Excellent written and verbal communication — presents findings, recommendations, and solutions at executive level
• Consultative mindset — listens actively to client needs and translates them into efficient, supportable outcomes
• Independent judgment; ability to make on-the-fly decisions during client engagements with minimal supervision
• Must be available to work US business hours (North America client base)
• After-hours and weekend availability required for minimum 2 weeks post go-live per new client
ABOUT Ztek: 
Website: www.ztekinc.com
Ztek Consulting Inc is a minority- and woman-owned business enterprise that leverages a unique blend of human talent, machine learning algorithms, and artificial intelligence to provide customized talent management solutions for clients. Ztek’s diversity-focused hiring models have proven successful, particularly in hiring veterans. The company's veteran-focused hiring and deployment program, Z-V.E.T, matches skilled veterans with clients' needs in various areas.
Disclaimer:
Ztek is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Ztek is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates.If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at hrd@ztekinc.com Please indicate the specifics of the assistance needed. Ztek encourages all interested and qualified candidates to apply for employment opportunities. Ztek does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b.