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

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ... intelligence and machine learning. What We Value * Mission focus, sound judgment, and ...

Tulk LLC

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ... machine learning. * Experience: Minimum 2 years delivering learning content to adult learners in a ...

TULK llc.

Data Science SME Mid

Springfield, VA · On-site

$115 - $157.94/hr

Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ... intelligence and machine learning. What We Value * Mission focus, sound judgment, and ...

TULK llc.

Data Science SME Lead

Springfield, VA · On-site

$120 - $189/hr

Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ... machine learning. * Experience: Minimum 2 years delivering learning content to adult learners in a ...

Cymertek

Software Engineer

Chantilly, VA · On-site

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Cymertek

Software Engineer

Tysons, VA · On-site

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Cymertek Corporation

Software Engineer

Reston, VA · On-site

$90 - $120/hr

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Cymertek Corporation

Software Engineer

Reston, VA · On-site

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Apex Systems

Mid-Level Data Scientist

Merrifield, VA · On-site

This role involves building predictive solutions for mobile applications and online business ... Utilize traditional and machine learning techniques to build a variety of models. * Analyze and ...

New

Cymertek

Software Engineer

Reston, VA · On-site

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Cymertek Corporation

Software Engineer

Chantilly, VA · On-site

$110 - $140/hr

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Node.Digital LLC

RPA Architect

Herndon, VA · On-site

$140 - $180/hr

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

Node.Digital

RPA Architect

Herndon, VA · On-site

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

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Showing results 41-60

All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Manassas, VA

Mobile Machine Learning information

See Manassas, VA salary details

$12

$25

$119

How much do mobile machine learning jobs pay per hour?

As of Sep 5, 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:

Mobile Machine Learning jobs near you

AI Developer - Model Creation & Full Stack

Electronic Consulting Services, Inc (ECS Federal)

Fairfax, VA • On-site

$130K - $145K/yr

Other

Re-posted 9 days ago

Job description

Job Description
Everforth ECS is seeking an AI Developer to work remotely .
Everforth ECS is seeking a highly skilledAI Developerwith expertise inmachine learning model creationandfull-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.
Key Responsibilities:
  • AI/ML Model Development
  • Design, build, fine tune and train machine learning and deep learning models using Python.
  • Perform data preprocessing, feature engineering, and model optimization.
  • Evaluate models using domain appropriate metrics and improve performance iteratively.
  • Deploy custom models to production environments (cloud/on-premises) using MLOps best practices.
  • Full-Stack Development
  • Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models.
  • Build responsive and user-friendly front-end interfaces for AI-powered applications.
  • Integrate AI models into web and mobile applications.
  • Ensure scalability, security, and performance of deployed solutions.
  • Collaboration & Documentation
  • Work closely with data scientists, developers, frontend developers, and product managers.
  • Document model architectures, APIs, and deployment processes.
  • Participate in code reviews and maintain high coding standards.
Salary Range: $130,000 - $145,000
General Description of Benefits
Required Skills
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Candidates must be able to obtain a USPS Public Trust Clearance. This requires ship or Permanent Resident Status (), and the ability to pass a stringent background check.
  • 3+ years of experience in AI/ML development and full-stack application building.
  • Programming:Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
  • Full Stack:Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js).
  • Databases:Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks
  • Experience with databricks
  • DevOps & Deployment:Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, Google Cloud Platform).
  • General knowledge of Geospatial technology
  • Version Control:Proficiency with GitHub workflows.
  • Mathematics & AI Concepts:Strong understanding of statistics, linear algebra, and machine learning algorithms.
  • Knowledge ofdata visualizationtools (Matplotlib, Plotly, D3.js).
  • Familiarity withmicroservices architecture.
  • Prior experience inAI product developmentfrom concept to deployment.

Desired Skills
  • Languages:Python, JavaScript/TypeScript
  • AI/ML:TensorFlow, PyTorch, scikit-learn
  • Backend:FastAPI, Flask, Django, ESRI ArcGIS tool, Geopandas/Paneas, Shapely. Asynchronous programming (aiohttp, asyncio)
  • Frontend:React.js, Next.js
  • Cloud:AWS Bedrock, Google Cloud Platform AI Platform, Azure ML
  • Tools:Docker, Kubernetes, GitHub Actions
#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees . Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!

Apply