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Mobile Machine Learning Jobs in Manassas, VA (NOW HIRING)

Senior AI/ML Engineer

Herndon, VA ยท On-site

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

Senior AI/ML Engineer

Herndon, VA ยท On-site

$107K - $147K/yr

Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver ...

AI Model Developer

Ashburn, VA ยท On-site

$125K - $150K/yr

Everforth ECS is seeking a highly skilled AI Model Developer with expertise in machine learning ... Integrate AI models into web and mobile applications. * Ensure scalability, security, and ...

Mobile Application Developer

Ashburn, VA ยท Hybrid

$114K - $190K/yr

... machinery, or to communicate with co-workers, management, and customers, which may involve ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Senior AI/ML Architect

Herndon, VA ยท On-site

$146K - $210K/yr

Architect, train, and deploy production machine learning models for network optimization ... mobile network, or cloud-native environments * Advanced AI Application and Innovation capability to ...

Senior AI/ML Architect

Herndon, VA ยท On-site

$146K - $210K/yr

Architect, train, and deploy production machine learning models for network optimization ... mobile network, or cloud-native environments * Advanced AI Application and Innovation capability to ...

Creating machine learning models that conduct text classification and topic modeling in Python ... Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts ...

Showing results 21-40

Mobile Machine Learning information

See Manassas, VA salary details

$12

$25

$119

How much do mobile machine learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for mobile machine learning in Manassas, VA is $25.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

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 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 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 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 Manassas, VA?

The most popular types of Machine Learning jobs in Manassas, VA are:

What are popular job titles related to Mobile Machine Learning jobs in Manassas, VA?

For Mobile Machine Learning jobs in Manassas, VA, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Manassas, VA look for?

The top searched job categories for Mobile Machine Learning jobs in Manassas, VA are:

What cities near Manassas, VA are hiring for Mobile Machine Learning jobs?

Cities near Manassas, VA with the most Mobile Machine Learning job openings:

Senior AI/ML Engineer

Node.Digital

Herndon, VA โ€ข On-site

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Senior AI/ML Engineer
Location: Herndon, VA (Hybrid Work)
Preferred: US Citizenship
Node.Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.
Role: AI/ML Engineer
The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efciency and continuous refnement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.
Requirements
Required Skills:
  • Overall experience of 6-10 Years working on Application/framework development
  • Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications
  • Hands-on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK,Lambda, and other AI/ML services
  • Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning)
  • Hands-on exp with OCR, ICR and OMR technologies is a must
  • Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
  • Good understanding of Document Processing, classifcation, data extraction is a must
  • Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
  • Hands-on Web application/APIs Development experience is a must
  • Profciency in asynchronous/multi-threaded programming
  • Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
  • Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
  • Strong knowledge of object-oriented concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
  • Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
  • Knowledge of AWS cloud architecture patterns and serverless computing
  • Experience with CI/CD pipelines and DevSecOps practices
  • Knowledge of Agile methodologies is desirable
  • Experience working with a toolchain that includes TFS, SVN, Git
  • Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies

Responsibility:
Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation. You will focus on building generative AI applications with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.
Key responsibilities include:
Designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
Building repeatable intelligent solutions/bots for document processing and data cleansing
Developing and deploying scalable ML/AI models on AWS infrastructure
Creating API endpoints and integrations for AI/ML services
Implementing model evaluation, monitoring, and continuous improvement processes Collaborating with cross-functional teams to embed AI capabilities across business functions
Nice to Have:
Experience with front-end frameworks (React, Angular, Vue.js) and modern web development UiPath RPA Developer Certifcation and UiPath AI Center Experience
Knowledge of chatbot development and conversational AI
Experience with AWS Bedrock Agents and Guardrails
Familiarity with model distillation and prompt optimization techniques
Understanding of responsible AI practices and AI security
Recommended Certifcations:
AWS Certifed Machine Learning - Specialty
AWS Certifed Solutions Architect
General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer
UiPath AI Center Experience (nice to have)
Eucation/Year of Exp:
Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development
Cultural Fit:
Effective communication skills for technical discussions
Comfortable with Agile methodologies
Ability to work remotely
Alignment with customer's mission and values
Adaptability to varying organizational structures
Data Analysis and Data Architecture Skills
Strong problem-solving abilities for complex AI/ML challenges
Benefits
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training