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Mobile Machine Learning Jobs in Missouri (NOW HIRING)

... learning and understanding their workplace culture • Create job aids, task analysis and other ... mobile devices to input, access, modify, or output information. This includes the ability to ...

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Kansas City, MO

$15.25 - $19.75/hr

... learning and understanding their workplace culture • Create job aids, task analysis and other ... mobile devices to input, access, modify, or output information. This includes the ability to ...

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Mobile Machine Learning information

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 Missouri? The most popular types of Machine Learning jobs in Missouri are:
What are popular job titles related to Mobile Machine Learning jobs in Missouri? For Mobile Machine Learning jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Mobile Machine Learning jobs? Cities in Missouri with the most Mobile Machine Learning job openings:
Employment Specialist

Employment Specialist

Life Unlimited

Kansas City, MO • On-site

Full-time

Re-posted 20 days ago


Life Unlimited rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Title: Employment Specialist
Department: Employment Services
Reports To: Director of Employment Services
FLSA: Non-Exempt


SUMMARY
The Employment Specialist will support individuals with disabilities in identifying an appropriate job goal and assist individuals in finding and maintaining competitive, community-based employment.


BASIC FUNCTIONS AND GENERAL RESPONSIBILITIES:
• Attend planning meetings for all assigned individuals. This includes Vocational Rehabilitation and DMH individuals
• Transports program individuals, when related to vocational activities as directed or approved by your supervisor
• Assists program individuals with performance on the new job tasks and helps them understand the job culture, industry practices, and work behaviors expected by the employer.
• Works with employers and individual’s co-workers to understand the training methods and accommodations that are needed
• Work alongside the individual to help them learn their new work tasks
• Assist the individual in identifying and developing natural supports at the work site
• Assist the individual in learning and understanding their workplace culture
• Create job aids, task analysis and other tools to foster ongoing success and independence
• Develops community-based program assessment and job placement sites by networking in the community’s and settings individuals want to work.
• Share community contacts and job lead information with coworkers
• Develops effective strategies for individualized job development and placement.
• Attends training and other events to establish collaborative relationships with other community entities which promote community employment
• Meets established outcomes goals to provide positive employment outcomes for clients.
• Works with area Employers to understand the benefits of hiring employees with disabilities
• Documents within 24 hours of any services provided in Therap or within timelines established by department leadership and agency policies.
• Conducts appropriate, person centered Community Based Assessments within the timeframe established following the agreed upon plan during the initial vocational planning meeting
• Write reports that are accurate and appropriate within timelines established by department leadership and agency policies.
• Assists individuals with accessing community resources that could affect the ability to obtain or maintain employment
• As appropriate, teach job searching skills, interview skills, soft skills and application/resume writing
• Meet with individuals on assigned caseload weekly to work on vocational planning and job search related activities unless specified differently in the individual’s plan.
• Abides by ethical and legal consideration of case communication and recording (i.e. HIPAA compliance)
• Meets performance goals for customer satisfaction, referrals and placement as defined by department management.
• The ability to effectively and efficiently use computers or mobile devices to input, access, modify, or output information. This includes the ability to quickly access, store and retrieve data.
• Demonstrates effective time management by maintaining a reliable schedule to support both individual and team goals.
• Maintains professionalism in communication and actively contributes to a positive and respectful team culture.
• Maintains professional appearance, appropriate to the day’s tasks.
• All Other Duties as Assigned


OTHER RESPONSIBILITIES and Requirements:
• Knowledge of programs and services for people with developmental disabilities preferred
• Willingness to travel on company business in personal or company vehicle.
• Good written and oral communication skills.
• Ability to be flexible.
• Respect the rights and dignity of people with Developmental Disabilities and willingness to advocate on their behalf.


Physical Expectations
• This position requires extended periods of walking and standing with some periods of sitting which is dependent upon the needs and activities of the individuals supported. It may require light to heavy lifting, up to 50 pounds independently, and occasional stooping, kneeling, bending, and/or climbing stairs depending on the needs of the individual supported.
Working Conditions
Office/home/community environment with noises from appliances, telephones, and occasional small machinery (lawn mower, etc.). May be exposed to bloodborne pathogens and/or infectious diseases. Occasionally, prolonged hours or unusual tasks to meet the unexpected needs of the individuals.


QUALIFICATIONS
• Four years of comparable experience preferred
• Bachelor’s degree preferred; Psychology, Sociology, Social Work, Human Resources, Business Administration, Public Administration, Nonprofit Management
• Must be able to communicate effectively in English – both in writing and orally.
• Must not have been convicted of any disqualifying felonies and must not have been substantiated for abuse or neglect in the state of Missouri, as recorded by the Department of Mental Health’s Employee Disqualification List.
• Must have reliable personal vehicle for transporting clients.
• Must demonstrate safe practices in all areas and exemplify positive professional standards.
• Must obtain a Class E driver’s license during new hire orientation– must carry minimum coverage applicable by law for auto insurance
• Must Receive Seasonal Flu Vaccination
Equal Opportunity Employer


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