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Mobile Machine Learning Jobs in Arizona (NOW HIRING)

Freeport McMoRan

Tailings Dam Operator Trainee

Bagdad, AZ · On-site

$21 - $27/hr

Responsible for learning the monitoring system on tailings line and may assist in performing ... May operate mobile equipment such as bulldozers, loaders, water trucks, motor graders, boom trucks ...

Caterpillar

Mining Onboard Specialist - MineStar

Mesa, AZ · On-site

$97.53K - $146.29K/yr

Manage machine and system integration , ensuring onboard components, networks, and machine control ... Training is tailored and may include classroom learning, on-the-job development, and mentoring.

Redfish Recruiting

Project Manager

Gilbert, AZ · On-site +1

... machine - ensuring tasks stay on track, deadlines are met, and nothing slips through the cracks ... Undergraduate degree and 2+ years experience in project management for mobile apps or software ...

Stefanini

Deskside Technician II

Arizona City, AZ

$20.50 - $26/hr

... deploy IT machines to end users following best business practicesDiagnose, troubleshoot, and ... and deploy mobile devices & other audio / visual equipmentTroubleshoot VPN and VDI ...

Drax

Heavy Duty Mechanic

Mesa, AZ · On-site

$56.82/hr

As a Heavy Duty Mechanic at Drax, you will conduct routine maintenance on machines to ensure the ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

Drax

Heavy Duty Mechanic

Phoenix, AZ · On-site

$56.82/hr

As a Heavy Duty Mechanic at Drax, you will conduct routine maintenance on machines to ensure the ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

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Mobile Machine Learning information

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.

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 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.

What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What are popular job titles related to Mobile Machine Learning jobs in Arizona? For Mobile Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Arizona look for? The top searched job categories for Mobile Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Mobile Machine Learning jobs? Cities in Arizona with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Tailings Dam Operator Trainee

Tailings Dam Operator Trainee

Freeport McMoRan

Bagdad, AZ

$21 - $27/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Freeport-McMoRan rating

8.3

Company rating: 8.3 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

6th of 29 rated mining

Job description

At Freeport-McMoRan, we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you’ll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career. Apply Today!     

Where You Will Work   

Looking to live in a small town with big opportunities? Our Bagdad operations in Arizona offers housing at a subsidized rate, a family-friendly atmosphere and numerous amenities including an aquatic center, golf course and fitness center. Located 100 miles northwest of Phoenix, Bagdad is home to the world's first commercial - scale concentrate leach processing facility, as well as one of the longest continuously operating solvent extraction/electrowinning plants in the world.  Visit the Bagdad town website to learn more.

What You Will Do
  • Performs duties related to the operation and maintenance of tailings compoundments 
  • May assist with and perform:  
    • Minor repairs on valves, spigots and pressure systems  
    • Drain valve replacements and plugging and patching leaks  
    • Routine inspections of dams and competition required documentation  
    • Maintenance activities 
  • Responsible for having knowledge of:  
    • Mantling and dismantling spigots on tailing lines  
    • Proper lock-out procedures of tailings line to perform valve replacements 
    •  Procedures for controlling pressure of slurry into tailings dam and changing pressure on main tailings line  
    • Algae pond process which includes monitoring and setting flow rates into correct lines  
  •  May communicate with thickener operator on flows to tailings dam  
  • Responsible for learning the monitoring system on tailings line and may assist in performing adjustments as necessary 
  •  May operate mobile equipment such as bulldozers, loaders, water trucks, motor graders, boom trucks, dump trucks, light duty vehicles, fusion machines, forklifts, and utilize hand and power tools  
  • Perform area housekeeping  
  • Perform other duties as required 
What You Bring To Freeport
  • Three (3) months experience in an industrial environment 
  • Must have completed academic and practical competencies required (this includes Line of Progression requirements for internal employees where LOP Exists) and have experience demonstrating the required aptitude. The selected candidate shall demonstrate the ability to apply knowledge and skills while also passing a written assessment where required. This exam is based on skills/abilities and/or academic knowledge; as well as safety. 
  • Ability to understand and apply verbal and written work and safety-related instructions and procedures in English  
  • Ability to communicate in English with respect to job assignments, job procedures and applicable safety standards 
Preferred Qualifications
  • High School diploma or GED 
  • Construction or Carpentry background

What We Offer You 

The estimated pay range for this role is currently $21.00 - $27.00/hour. This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional discretionary and incentive payment considerations based on company and individual performance. More details will be shared during the hiring process. Click here to view a sample of Total Rewards Estimate for this role.  

  • Affordable medical, dental and vision benefits  
  • Company-paid life and disability insurance  
  • 401(k) plan with employer contribution/match  
  • Paid time off, paid sick time, holiday pay, parental leave  
  • Tuition assistance  
  • Employee Assistance Program  
  • Discounted insurance plans for pet, auto, home and vehicle  
  • Internal progression opportunities  
  • Learn more about our competitive and comprehensive benefits package!  

What We Require   

  • Candidates may be required to pass a medical exam.  
  • Candidates must pass all required training and/or testing.  
  • Employees may be required to work a non-standard schedule, which may include shift work (other than day shift) at a 24/7, 365-day operation.  
  • Freeport-McMoRan promotes a drug/alcohol-free work environment using mandatory pre-employment drug testing and on-going drug and alcohol testing, as allowed by applicable laws.  

Equal Opportunity Employer  

Please be advised that Freeport-McMoRan will never request payment for job-related expenses from applicants. If you receive any suspicious emails, please disregard them, and report the incident to HRSC@fmi.com. 

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