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Machine Learning Engineer Quantization Jobs in Fredericksburg, VA

Barrow Wise Consulting

Systems Engineer

King George, VA · On-site

$100K - $150K/yr

The Systems Engineer will support Barrow Wise's Department of Defense project and perform the ... Machine Learning, and IoT, and helping customers define and implement them into their enterprise

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB , or similar

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

Collaborate with data engineers software developers cloud engineers operational planners and other ... Demonstrated expertise in data mining machine learning statistical modeling predictive analytics ...

Phase2 Technology

Data Scientist

Stafford, VA · On-site

$77.60 - $176/hr

... programming languages for data analysis * Experience analyzing structured and unstructured data ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

Booz Allen Hamilton

Data Scientist

Stafford, VA · On-site

$77K - $176K/yr

... programming languages for data analysis * Experience analyzing structured and unstructured data ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

Booz Allen Hamilton, Inc.

Data Scientist

Stafford, VA · On-site

$77K - $176K/yr

... programming languages for data analysis * Experience analyzing structured and unstructured data ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

Booz Allen Hamilton, Inc.

Data Scientist

Stafford, VA · On-site +1

$77K - $176K/yr

... programming languages for data analysis * Experience analyzing structured and unstructured data ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

Booz Allen Hamilton

Data Scientist

Stafford, VA · On-site

$77K - $176K/yr

... programming languages for data analysis * Experience analyzing structured and unstructured data ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

AMERICAN SYSTEMS

Data Architect

Quantico, VA · On-site

$133K - $222K/yr

Collaborate with data engineering and analytics teams to ensure architectures support machine learning, analytics, and reporting . * Optimize data platform performance through indexing, partitioning ...

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Showing results 21-40

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Fredericksburg, VA

Machine Learning Engineer Quantization information

See Fredericksburg, VA salary details

$31K

$126.6K

$190.3K

How much do machine learning engineer quantization jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning engineer quantization in Fredericksburg, VA is $126,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $152,400.00 per year, depending on experience, location, and employer.

What are some common challenges machine learning engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a machine learning engineer quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Fredericksburg, VA? For Machine Learning Engineer Quantization jobs in Fredericksburg, VA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Fredericksburg, VA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Fredericksburg, VA are:
What cities near Fredericksburg, VA are hiring for Machine Learning Engineer Quantization jobs? Cities near Fredericksburg, VA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Fredericksburg, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,631 per year, or $60.9 per hour.

Systems Engineer

Barrow Wise Consulting

King George, VA • On-site

$100K - $150K/yr

Full-time

Re-posted 21 hours ago

Job description

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today.
Responsibilities:
The Systems Engineer will support Barrow Wise's Department of Defense project and perform the following tasks:
  • Build a comprehensive system, data, and architecture model, which includes understanding the technical relationships, dependencies, and requirements of infrastructure, software components, data, integrations, tools, and methodologies
  • Conduct a needs analysis and provide solution engineering
  • Analyze weapons systems and develop recommendations
  • Gather, analyze, and document requirements
  • Create a new comprehensive architecture design and perform design reviews
  • Create, perform, and document tests using various use cases
  • Develop the system and provide technical expertise on the implementation of information security standards and enterprise applications architecture by guiding the integration of application architecture standards into information technology processes
  • Provide system integration services and conduct operations and maintenance, periodic reviews, cybersecurity performance, identifying and resolving gaps
  • Document the system guide and display expertise of model-based systems engineering and digital transformation, including emerging technologies such as 5G, Data Mesh, AI, Blockchain, Augmented Reality, Machine Learning, and IoT, and helping customers define and implement them into their enterprise
  • Collaborate with stakeholders to ensure that the system exceeds their needs
  • Work onsite at Dahlgren, Virginia

An Ideal Candidate has:
  • US Citizenship and a Secret Clearance
  • Education: Bachelor's degree or higher in a technical field (e.g., Engineering, Computer Science, Information Technology) and at least one technical certification
  • At least ten years of systems engineering experience supporting the federal government or Fortune 100 firms.

Join the team at Barrow Wise Consulting, LLC for a fulfilling and engaging experience! Our team is dedicated to providing innovative solutions to our clients in an ethical and diverse work environment. We offer competitive compensation packages, excellent benefits, and opportunities for growth and advancement. Barrow Wise is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LBGT are welcome to apply.
Our employees stand behind Barrow Wise's core values of integrity, quality, innovation, and diversity. We are confident that Barrow Wise's core values, business model, and team focus create positive career paths for our employees. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.

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