ZipRecruiter

Log In

1

Hourly Embedded Machine Learning Jobs in Washington

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

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 ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

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 ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

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 ...

Apply Early

Booz Allen Hamilton

Autonomy SME, Lead

Washington, DC · On-site

$62.25 - $85.50/hr

Responsibilities : • Design and train machine learning models for perception, object detection ... and embedded systems. • Develop and integrate autonomy behaviors within platforms such as ...

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

$113K - $188K/yr

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

Guidehouse

AI/ML Data Scientist

Arlington, VA

$113K - $188K/yr

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

$113K - $188K/yr

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

STR

Principal Signal Processing Researcher

Arlington, VA

$206K - $284K/yr

... machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

STR

Lead Signal Processing Researcher

Arlington, VA

$173K - $216K/yr

... machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · On-site

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One Holdings, LLC

Data Scientist

Mclean, VA · On-site

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

System One

Data Scientist

Mclean, VA · Remote

Design and develop machine learning models and analytical approaches to support search, discovery ... embedded analytics platforms). * Understanding of model evaluation, validation, and performance ...

next page

Showing results 1-20

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Washington

Hourly Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as an Hourly Embedded Machine Learning Engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in Washington? The most popular types of Embedded Machine Learning jobs in Washington are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Washington? For Hourly Embedded Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Washington look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Washington are:
What cities in Washington are hiring for Hourly Embedded Machine Learning jobs? Cities in Washington with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.
Senior AI/ML Engineer

Senior AI/ML Engineer

Node.Digital

Herndon, VA • On-site, Remote

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 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

Apply