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Mobile Machine Learning Jobs in Connecticut (NOW HIRING)

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Mobile Machine Learning information

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How much do mobile machine learning jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for mobile machine learning in Connecticut is $24.09, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.23 per hour, depending on experience, location, and employer.

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 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 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 Connecticut? The most popular types of Machine Learning jobs in Connecticut are:
What are popular job titles related to Mobile Machine Learning jobs in Connecticut? For Mobile Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Mobile Machine Learning jobs? Cities in Connecticut with the most Mobile Machine Learning job openings:
CNC Field Service Technician

CNC Field Service Technician

The Robert E. Morris

Danbury, CT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Join a USA Today Top Workplace!

Morris Group, Inc., one of the largest machine tool distribution networks in North America, is a third generation, family owned and operated business that serves manufacturers of precision machined parts in the United States. Our mission is to help manufacturers maintain a competitive advantage in the world economy by improving productivity.

Summary of Responsibility:

A Field Service Technician is a key member of the Customer Support Department and is primarily responsible for the installation, preventive maintenance, solving and repair of Computer Numerically Controlled (CNC) Lathe, Milling and Multi-Functional Machining Centers. We are seeking customer focused professionals who have a positive attitude, a high interest in learning and great Customer service skills. This opportunity is an above average platform for technical advancement and compensation growth.

What You Will Contribute:

The CNC Field Service Technician must have or be willing to learn through training on the job and classroom an understanding of mechanical drawings, electrical/pneumatic/hydraulic schematics, PLC ladder diagrams and testing equipment required to effectively diagnose and resolve issues with electrical/mechanical components, as well as electro-mechanical and machine control systems.

  • Daily travel from home to Customer facilities with occasional overnight hotel stays required when servicing remote Customer locations within the designated coverage territory or when participating in remote training programs.

  • Demonstrating a willingness to help others and be a team member

  • Install, commission, calibrate, maintain, tackle, diagnose, and repair CNC equipment and accessory CNC equipment at customer facilities. Service calls also include operator training, networking between systems, software applications, preventive maintenance, major assembly replacements and alignments, overhauls/refurbishments, upgrades/retrofits, and un-installation services.

  • Provide a direct communication link between the Customer and the Service Group of the Robert E. Morris Company.

  • Provide voice of Customer feedback.

  • Through service and Customer relationships, build brand dedication.

  • Conduct travel and work in a safe manner, constantly learning new technology and soft skills.

  • Apply machine tool manuals, technical documents, as well as internal and external authorities to optimally diagnose and resolve CNC equipment issues.

  • Effectively understand and use the Salesforce Lightning Customer Support computer system.

Qualifications & Competencies:

  • Proficient verbal and written communication and Customer relation skills.

  • Able to interact and effectively communicate in person and over the phone with customer and co-workers.

  • Present a professional image.

  • Must be adaptable to changes and able to deal with change, delays, or general work-related issues.

  • Basic digital literacy and shown understanding of MS Word, Excel, and Outlook.

  • Must have, and/or be willing/capable of being trained to develop, electro-mechanical skills (motors, drives, transformers etc.).

  • Knowledge of machine tool manufacture, installation, operation, maintenance & repair and/or a broad shop background – is a plus.

  • Basic mechanical and logical solving skills are a must.

  • Rational decision making and problem-solving skills.

Work Environment

  • Exposure to manufacturing/machining environments which may present possible hazards such as noise, electricity, chemicals, heavy equipment, and other automated or manual machinery. General office and training environment experienced at the Robert E. Morris Company.

Other Functions:

  • Perform related duties as required

The duties listed above are intended only as illustration of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar or a logical assignment to the position.

What’s in it for You:

  • We take great pride in our employees and offer a variety of benefits that allow our employees to be successful inside and outside of work: Competitive starting salary

  • Market competitive comprehensive health benefits including a zero premium medical plan offering, vision, dental, and company paid life insurance

  • 3+ Weeks’ Vacation to Start

  • 10 Company Paid Holidays

  • 401(k) retirement plan with company contribution Tuition reimbursement

  • Employee appreciation events and perks Employee Assistance Program

Mental and Physical Requirements:

The physical demands and characteristics of the work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • Must be highly mobile, able to access all areas of the premises.

  • Ability to concentrate and remain focused while prioritizing multiple tasks, responsibilities, and projects.

  • Ability to sit for prolonged period of times.

  • Able to perform bending, twisting, stooping, reaching, and lifting of moderate to heavyweight material up to 50 lbs. with assistance from equipment or other employees.

  • Ability to frequently use hands and arms.

  • Vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.

  • Ability to work responsibly and professionally in dynamic job sites that may involve tight timelines, changing priorities, and interaction with customers and team members.

Certain positions are designated as safety-sensitive due to the nature of the work performed. Employees in these roles may also be expected to:

  • Ability to stand, walk, bend, kneel, crouch, climb, and reach for extended periods while servicing equipment.

  • Ability to work in tight spaces or awkward positions, including accessing equipment interiors and elevated areas.

  • Strong hand–eye coordination and fine motor skills required for precise electrical, mechanical, and diagnostic work.

  • Ability to work in industrial environments, with exposure to noise, lubricants, coolants, metal chips, and other manufacturing conditions, while consistently wearing required personal protective equipment (PPE).

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.

Requisition #: 1444B, Danbury CT