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Mobile Machine Learning Jobs in Connecticut (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Hartford, CT

... 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 ...

Customer Operations

Data Scientist

Stamford, CT · On-site +1

At Spectrum, you'll use advanced statistical techniques and machine learning to develop impactful ... Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions ...

Deloitte

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 ...

TRUMPF Group

Field Service Engineer

Farmington, CT · On-site

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 ...

TRUMPF Group

Field Service Engineer

Farmington, CT · On-site

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 ...

TRUMPF

Field Service Engineer

Farmington, CT · On-site

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 ...

TRUMPF

Field Service Engineer

Farmington, CT · On-site

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 ...

TRUMPF

Product Support Group Engineer

Farmington, CT

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 ...

Trumpf

Product Support Group Engineer

Farmington, CT

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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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Connecticut

Mobile Machine Learning information

See Connecticut salary details

$11

$24

$113

How much do mobile machine learning jobs pay per hour?

As of Jul 31, 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:
Mobile Machine Learning jobs near you

Senior Manager, Business Solutions

Sales and Marketing

Stamford, CT

Full-time

Posted 10 days ago

Job description

TITLE: Sr Mgr, Business Solutions (Multiple Openings)


LOCATION: Stamford, CT


JOB SUMMARY: Lead cross-functional teams to gather, analyze, and design business requirements for marketing analytics and application development projects. Architect, develop, and maintain full stack applications using Angular, JavaScript, .NET Core, and Oracle SQL to support marketing operations and reporting. Oversee the integration, transformation, and storage of user activity and campaign data in Snowflake or AWS, ensuring data is optimized for AI applications. Design and manage data pipelines using Snowflake or AWS’s native connectors (such as Snowpipe, Fivetran, AWS Glue, etc.) to efficiently load and transform data from Amazon S3 into Snowflake. Create new and advanced measurement and connecting Snowflake to visualization tools such as Power BI and Tableau Cloud, or Looker. Analyze attribution parameters to accurately credit SEM and SEO teams, using advanced data science and machine learning techniques. Collaborate with internal teams to design and implement secure media asset sharing platforms hosted on Charter’s proprietary in-house servers and cloud-native storage solutions. Apply data science methodologies, including statistical analysis, probability, and machine learning techniques using Python 3.12+, JupyterLab, scikit-learn, Pandas, and Plotly, to extract insights and support predictive modeling for marketing initiatives. Leverage Snowflake’s data processing and machine learning capabilities to build, train, and deploy scalable AI/ML models directly on data stored within Snowflake. Establish best-in-class governance of customer data, in compliance with current/future data security and privacy standards (e.g., GDPR, CCPA) when handling sensitive customer and campaign data. Provide technical leadership and mentorship to development and analytics teams, fostering best practices in cloud-native software engineering and data analysis. Architect new knowledge libraries of marketing data for ingestion into AI solutions.

 
EDUCATION / REQUIREMENTS: Bachelor's degree in Information Technology, Computer Science, Engineering (computer, electronics or communication), Data Science, or a related field. 5 years of experience utilizing JavaScript to develop interactive and responsive user interfaces for web applications. 5 years of experience utilizing .NET C# to build and maintain backend services and APIs for web applications. 5 years of experience utilizing Oracle SQL to design and optimize complex queries for large-scale relational databases. 4 years of experience applying advanced data science and machine learning techniques using Python, JupyterLab, scikit-learn, Pandas, or Plotly to analyze and visualize data. 3 years of experience designing and managing data pipelines to integrate, move, extract, transform, and load data between systems.


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Qualifications:Employment Type: Full Time

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