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Mobile Machine Learning Jobs in Colorado (NOW HIRING)

Deloitte

Senior Consultant - SAP EAM/PM

Denver, CO · On-site

$64.75 - $88.50/hr

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Experience with SAP Intelligent Asset Management or SAP mobile maintenance capabilities * Current ...

TRUMPF

Field Service Engineer

Denver, CO

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... learning about new places, and meeting new people? Are you interested in becoming a skilled mobile ...

EchoStar

Knowledge Base Analyst II

Englewood, CO · On-site

$63K - $90K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Comfort with ambiguity and a passion for learning on the fly as our tools, technology, and ...

Cynet Health

RN - Psych

Aurora, CO · On-site

$1.8K - $2.5K/wk

Equipment used includes Welsh Allen Vital Signs Machines and EMR system - Meditech. Candidates with ... This role offers a great learning opportunity to care for patients with diverse mental health ...

Masabi Ltd

Hardware Operations Support Specialist

Denver, CO · On-site

$46K - $57K/yr

... their mobile phones, from a ticket machine, or even by tapping their bank card to travel. Our ... If you're naturally curious about technology and enjoy learning how things work, this role offers a ...

New

Masabi

Hardware Operations Support Specialist

Denver, CO · On-site

$46K - $57K/yr

... their mobile phones, from a ticket machine, or even by tapping their bank card to travel. Our ... If you're naturally curious about technology and enjoy learning how things work, this role offers a ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Colorado

Mobile Machine Learning information

See Colorado salary details

$12

$26

$125

How much do mobile machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for mobile machine learning in Colorado is $26.63, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $21.25 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 Colorado? The most popular types of Machine Learning jobs in Colorado are:
What are popular job titles related to Mobile Machine Learning jobs in Colorado? For Mobile Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Colorado look for? The top searched job categories for Mobile Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Mobile Machine Learning jobs? Cities in Colorado with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Senior Consultant - SAP EAM/PM

Senior Consultant - SAP EAM/PM

Deloitte

Denver, CO • On-site

$64.75 - $88.50/hr

Other

Re-posted 14 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services

Job description

Join Deloitte's SAP practice and build a career at the forefront of business transformation, where innovation, industry insight, and leading technology come together to solve complex challenges. You'll work with dynamic teams and leading organizations to modernize core processes, enable digital transformation, and help clients unlock lasting value through SAP-enabled solutions.

Recruiting for this role ends on 08/31/2026.

Work you'll do

As a Senior Consultant on the SAP team, you will support clients across the solution lifecycle, from business process assessment through design, build, testing, deployment, and post-go-live activities.

  • Deliver SAP Enterprise Asset Management / Plant Maintenance (EAM/PM) solutions that support asset management and maintenance operations
  • Assess business requirements, evaluate current-state processes, and design future-state SAP EAM/PM solutions
  • Configure SAP EAM/PM across technical object master data, notifications, work orders, maintenance plans, task lists, measuring points and counters, refurbishment, calibration, permits, and reporting
  • Support integration design and issue resolution across SAP EAM/PM and adjacent SAP modules including Materials Management (MM), Quality Management (QM), Project Systems (PS), and Environment, Health, and Safety (EHS)
  • Collaborate with business and technology teams on workshops, solution design, testing, cutover, deployment, and stabilization activities
  • Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal initiatives, and business development support

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's SAP practice helps clients design, implement, and sustain SAP-enabled transformations across core business functions. Our teams combine industry knowledge, functional experience, and technology capabilities to support first-time implementations, business-led enhancements, and large-scale SAP S/4HANA programs.

Professionals in the practice work with leading organizations across industries to modernize operations, improve process performance, and unlock value through cloud, automation, analytics, artificial intelligence, and machine learning.

Qualifications

Required

  • Bachelor's degree or Associate's degree plus 6+ years of SAP, enterprise resource planning (ERP), or consulting experience
  • 5+ years of SAP consulting experience supporting solution design and end-to-end delivery in a consulting firm, industry environment, or both
  • 3+ years of functional configuration experience with SAP Enterprise Asset Management / Plant Maintenance (SAP EAM/PM), including configuration across 3+ functional areas such as technical objects, notifications, work orders, maintenance plans, task lists, measuring points/counters, refurbishment, calibration, permits, or linear asset management
  • Participation in 2+ full lifecycle SAP implementations, including 1+ implementation in a primary SAP EAM/PM role
  • 1+ year of configuration and solution design experience in 1+ SAP module outside of SAP EAM/PM, such as Materials Management (MM), Quality Management (QM), Project Systems (PS), Environment, Health, and Safety (EHS), Warehouse Management (WM), or Extended Warehouse Management (EWM) including requirements gathering, configuration, and end-to-end testing
  • Experience with 1+ SAP S/4HANA implementation, transformation, or migration program
  • Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve

 Preferred

  • Master's degree in Supply Chain, Information Systems, Engineering, or Business
  • 2+ years of client service delivery experience in a consulting or professional services firm supporting large enterprise transformation engagements
  • Participation in 1+ SAP ECC to SAP S/4HANA conversion or greenfield SAP S/4HANA implementation
  • Experience with SAP Intelligent Asset Management or SAP mobile maintenance capabilities
  • Current SAP certification in SAP S/4HANA Asset Management, Enterprise Asset Management, Plant Maintenance, or another SAP certification in an integrated module supporting asset management and maintenance operation

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#SAPCORE

#EPCORE 

#DeloitteNDO

Qualifications:

Join Deloitte's SAP practice and build a career at the forefront of business transformation, where innovation, industry insight, and leading technology come together to solve complex challenges. You'll work with dynamic teams and leading organizations to modernize core processes, enable digital transformation, and help clients unlock lasting value through SAP-enabled solutions.

Recruiting for this role ends on 08/31/2026.

Work you'll do

As a Senior Consultant on the SAP team, you will support clients across the solution lifecycle, from business process assessment through design, build, testing, deployment, and post-go-live activities.

  • Deliver SAP Enterprise Asset Management / Plant Maintenance (EAM/PM) solutions that support asset management and maintenance operations
  • Assess business requirements, evaluate current-state processes, and design future-state SAP EAM/PM solutions
  • Configure SAP EAM/PM across technical object master data, notifications, work orders, maintenance plans, task lists, measuring points and counters, refurbishment, calibration, permits, and reporting
  • Support integration design and issue resolution across SAP EAM/PM and adjacent SAP modules including Materials Management (MM), Quality Management (QM), Project Systems (PS), and Environment, Health, and Safety (EHS)
  • Collaborate with business and technology teams on workshops, solution design, testing, cutover, deployment, and stabilization activities
  • Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal initiatives, and business development support

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's SAP practice helps clients design, implement, and sustain SAP-enabled transformations across core business functions. Our teams combine industry knowledge, functional experience, and technology capabilities to support first-time implementations, business-led enhancements, and large-scale SAP S/4HANA programs.

Professionals in the practice work with leading organizations across industries to modernize operations, improve process performance, and unlock value through cloud, automation, analytics, artificial intelligence, and machine learning.

Qualifications

Required

  • Bachelor's degree or Associate's degree plus 6+ years of SAP, enterprise resource planning (ERP), or consulting experience
  • 5+ years of SAP consulting experience supporting solution design and end-to-end delivery in a consulting firm, industry environment, or both
  • 3+ years of functional configuration experience with SAP Enterprise Asset Management / Plant Maintenance (SAP EAM/PM), including configuration across 3+ functional areas such as technical objects, notifications, work orders, maintenance plans, task lists, measuring points/counters, refurbishment, calibration, permits, or linear asset management
  • Participation in 2+ full lifecycle SAP implementations, including 1+ implementation in a primary SAP EAM/PM role
  • 1+ year of configuration and solution design experience in 1+ SAP module outside of SAP EAM/PM, such as Materials Management (MM), Quality Management (QM), Project Systems (PS), Environment, Health, and Safety (EHS), Warehouse Management (WM), or Extended Warehouse Management (EWM) including requirements gathering, configuration, and end-to-end testing
  • Experience with 1+ SAP S/4HANA implementation, transformation, or migration program
  • Ability to travel up to 50%, based on the work you do and the clients and industries/sectors you serve

 Preferred

  • Master's degree in Supply Chain, Information Systems, Engineering, or Business
  • 2+ years of client service delivery experience in a consulting or professional services firm supporting large enterprise transformation engagements
  • Participation in 1+ SAP ECC to SAP S/4HANA conversion or greenfield SAP S/4HANA implementation
  • Experience with SAP Intelligent Asset Management or SAP mobile maintenance capabilities
  • Current SAP certification in SAP S/4HANA Asset Management, Enterprise Asset Management, Plant Maintenance, or another SAP certification in an integrated module supporting asset management and maintenance operation

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#SAPCORE

#EPCORE 

#DeloitteNDO

Education:Associate's DegreeEmployment Type:

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