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Mobile Machine Learning Jobs in Connecticut (NOW HIRING)

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

Senior Consultant - SAP EAM/PM

Stamford, CT

$67.25 - $91.75/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 ...

Manager, Digital PO

Hartford, CT · On-site

$147K - $203K/yr

... machine learning infrastructure design; 2. End-to-end data science lifecycle/workflow; 3. ... Web and mobile applications development. Pay Range: $147430.00/year to $203940.00/year. This pay ...

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 ...

Field Service Engineer

Farmington, CT · On-site

$27.94 - $44.24/hr

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 ...

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 ...

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 ...

Field Service Engineer

Farmington, CT · On-site

$27.94 - $44.24/hr

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 ...

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 ...

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 ...

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 ...

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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 ...

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Mobile Machine Learning information

See Connecticut salary details

$11

$24

$113

How much do mobile machine learning jobs pay per hour?

As of Jul 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 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 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 job categories do people searching Mobile Machine Learning jobs in Connecticut look for? The top searched job categories for Mobile Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Mobile Machine Learning jobs? Cities in Connecticut with the most Mobile Machine Learning job openings:
Associate Faculty - Master of Science in Computer Science

Associate Faculty - Master of Science in Computer Science

Post University

Waterbury, CT • On-site

$39K - $53K/yr

Other

Posted 21 days ago


Post University rating

6.3

Company rating: 6.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

465th of 546 rated colleges and universities


Job description


At Post University, we believe that personalized guidance, unwavering motivation, robust support, and a student-centered education are the catalysts that allow students to achieve their individual academic and career goals. Our Associate Faculty play a central role in bringing this mission to life, especially for students navigating their first year of college.

Associate Faculty foster learning environments where students feel supported, motivated, and connected to the university community. Through intentional teaching, coaching, and relationship-building in and out of the classroom, they help students develop the skills, confidence, and sense of belonging needed to persist academically and grow into workforce-ready, socially responsible learners.

MASTER OF SCIENCE IN COMPUTER SCIENCE

ASSOCIATE FACULTY (ON CAMPUS)

School of Arts and Sciences
Post University
Waterbury, Connecticut

POSITION SUMMARY

Post University invites applications for Associate Faculty positions in the Master of Science in Computer Science program. We are seeking highly qualified educators, researchers, and industry professionals with terminal degrees who are passionate about teaching graduate students and preparing future technology leaders.

This position is for on campus instruction only at Post University's Waterbury, Connecticut campus. Successful candidates will teach graduate level courses, mentor students, contribute to academic excellence, and bring current industry and research expertise into the classroom.

The Master of Science in Computer Science program focuses on advanced topics including artificial intelligence, machine learning, software engineering, cybersecurity, cloud computing, data science, computer systems, and emerging technologies.

PRIMARY RESPONSIBILITIES

• Teach graduate level Computer Science courses in a face to face classroom environment.
• Deliver engaging, rigorous, and student centered instruction.
• Provide timely feedback and assessment of student learning.
• Mentor and advise graduate students.
• Integrate current industry practices, research, and emerging technologies into coursework.
• Participate in curriculum development, program assessment, and continuous improvement initiatives.
• Collaborate with faculty, program leadership, and university administration.
• Maintain academic records and adhere to university policies and accreditation standards.

MINIMUM QUALIFICATIONS

• Earned doctoral degree required in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, Information Systems, Computer Engineering, or a closely related discipline.
• Demonstrated academic and/or professional expertise in the discipline being taught.
• Minimum of three years of relevant industry experience in computing, software development, cybersecurity, artificial intelligence, cloud computing, data science, systems engineering, or related technical fields.
• Strong communication, presentation, and interpersonal skills.
• Commitment to student success and academic excellence.

PREFERRED QUALIFICATIONS

• Previous graduate level teaching experience.
• Experience teaching in higher education.
• Record of scholarly activity, research, publications, presentations, or industry leadership.
• Experience developing graduate curriculum and course materials.
• Experience supervising student research, capstone projects, or thesis work.

AREAS OF EXPERTISE

Candidates with expertise in one or more of the following areas are encouraged to apply:

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science and Analytics
• Software Engineering
• Cybersecurity
• Cloud Computing
• Computer Networks
• Database Systems
• Programming Languages
• Systems Architecture
• DevOps
• Distributed Systems
• Human Computer Interaction
• Information Systems
• Mobile Application Development
• Web Application Development
• High Performance Computing
• Quantum Computing

INDUSTRY CERTIFICATIONS

Professional certifications are strongly preferred and should align with the candidate's area of expertise.

Examples include:

Cybersecurity
• CISSP
• CCSP
• CEH
• Security+
• CySA+

Cloud Computing
• AWS Solutions Architect
• AWS DevOps Engineer
• Microsoft Azure Solutions Architect Expert
• Google Professional Cloud Architect

Artificial Intelligence and Data Science
• Google Professional Machine Learning Engineer
• Microsoft Azure AI Engineer Associate
• Databricks Data Engineer Certifications

Networking and Infrastructure
• CCNA
• CCNP

Project Management
• PMP
• Certified ScrumMaster (CSM)
• ITIL Foundation

WHY JOIN POST UNIVERSITY?

• Opportunity to teach and mentor graduate students in a growing Master of Science in Computer Science program.
• Collaborative academic environment with strong institutional support.
• Ability to shape the future workforce in advanced computing disciplines.
• Opportunity to contribute to curriculum innovation and program growth.
• Engagement with students pursuing careers in artificial intelligence, cybersecurity, software engineering, cloud computing, and data science.

APPLICATION MATERIALS

Interested candidates should submit:

• Curriculum Vitae (CV)
• Cover Letter
• Unofficial or Official Academic Transcripts
• List of Relevant Certifications
• Teaching Philosophy Statement (preferred)
• Professional References

Post University is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse academic community.




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