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Machine Learning Engineer Quantization Jobs in Gray, GA

Yancey Bros.co

Heavy Equipment Training Instructor

Macon, GA · On-site

$47K - $62K/yr

... learning more about our customers, offering equipment and support to keep up with their changing ... Lectures classes on safety, installation, programming, testing, maintenance and repair of machinery ...

Yancey Bros.co

Boot Camp Training Instructor

Macon, GA · On-site

$47K - $62K/yr

Schedule, demonstrate and manage the learning plan and day to day activities of the boot campers in ... Lectures classes on safety, installation, programming, testing, maintenance and repair of machinery ...

Unified Prince

Inside Project Manager

Macon, GA · On-site

This role works closely with senior project managers, estimators, engineering, and shop supervisors ... learning how complex builds come together. Who We Are: Founded in 1965, Prince Service & Mfg. has ...

Unified Prince

Inside Project Manager

Macon, GA · On-site

This role works closely with senior project managers, estimators, engineering, and shop supervisors ... learning how complex builds come together. Who We Are: Founded in 1965, Prince Service & Mfg. has ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Gray, GA

Machine Learning Engineer Quantization information

See Gray, GA salary details

$29.2K

$119.4K

$179.4K

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

As of Jul 9, 2026, the average yearly pay for machine learning engineer quantization in Gray, GA is $119,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $143,700.00 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 cities near Gray, GA are hiring for Machine Learning Engineer Quantization jobs? Cities near Gray, GA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you

Senior Modeling and Simulation Analyst

Summit Federal Services LLC

Gordon, GA • On-site

$82K - $109K/yr

Full-time

Posted 15 days ago

Job description

Summit Federal Services, LLC (SFS) with headquarters in Oakland, Maryland, is a fast growing woman owned Small Business and HUBZone company with an outstanding record of performance providing more effective and efficient acquisition, business process, training, IT, administrative and security services to multiple federal agencies.
SFS is looking for a Senior Modeling and Simulation Analyst to provide support to CBL Battle Lab Facility located at Fort Gordon GA. All work will be performed onsite. This contract will support the CBL mission to provide experimentation support to the C- CDID with dynamic network experimentation integrated with CO, DODIN-A, EW and IA through the Cyber Battle Lab's Experimentation Branch (EB), Environments Support Branch (ESB), and the Army Persistent Experimentation eNvironment (APEN) Cyber Enterprise Service Center (CESC). The CBL Experimentation Support contract will provide support in the form of experiments, assessments, analyses and network support that will validate proposed new technical solutions to resolve known Doctrine, Organization, Training, Material, Leadership & Education, Personnel, Facilities Policy (DOTMLPF-P) capability gaps within the CO, EW, Network, and IA force modernization lines of effort
Position Summary
The Senior Modeling and Simulation Analyst develops, analyzes, validates, and applies modeling and simulation tools to support operational analysis, system development, test and evaluation, training, acquisition programs, and strategic decision-making. This role provides technical expertise in building and executing simulations, analyzing complex data sets, and delivering actionable recommendations to stakeholders in government, defense, aerospace, or commercial environments.
Key Responsibilities
  • Develop, execute, and maintain modeling and simulation environments for system performance, mission effectiveness, and operational analysis.
  • Design simulation scenarios, experiments, and analytical studies to evaluate system capabilities and operational concepts.
  • Conduct statistical analysis, sensitivity studies, and performance assessments.
  • Verify, validate, and accredit (VV&A) simulation models and analytical tools.
  • Analyze large data sets and generate technical reports, briefings, and recommendations.
  • Support system engineering, test and evaluation, and requirements development activities.
  • Collaborate with engineers, software developers, operators, and program managers to define analytical objectives.
  • Develop automated analysis tools and scripts to improve efficiency and repeatability.
  • Present findings to senior leadership, customers, and technical review boards.
  • Support modeling and simulation efforts throughout the system lifecycle.
Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, Operations Research, Applied Mathematics, or a related technical field.
  • Typically 8-15+ years of experience in modeling, simulation, systems analysis, or operations research.
  • Strong understanding of probability, statistics, and quantitative analysis methods.
  • Experience developing and executing analytical models and simulations.
  • Proficiency with one or more programming or analysis languages:
    • Python
    • MATLAB
    • R
    • C++
    • Java
  • Strong technical writing and presentation skills.
  • Top Secret Security Clearance
Preferred Qualifications
  • Master's degree or Ph.D. in a technical discipline.
  • Experience supporting defense, aerospace, intelligence, or federal government programs.
  • Knowledge of Department of Defense acquisition, test, and evaluation processes.
  • Experience with:
    • Mission-level simulations
    • Discrete event simulation
    • Monte Carlo analysis
    • Digital engineering environments
    • Systems-of-systems analysis
  • Active Secret or TS/SCI security clearance.
Desired Technical Skills
  • Modeling and simulation frameworks
  • Statistical analysis and data science methods
  • Verification, Validation, and Accreditation (VV&A)
  • Data visualization and reporting
  • Machine learning and predictive analytics
  • System performance analysis
  • Requirements analysis and trade studies
  • High-performance computing environments
  • Digital engineering and model-based systems engineering (MBSE)
Common Modeling & Simulation Tools
  • MATLAB
  • Simulink
  • Arena Simulation
  • AnyLogic
  • STK
  • Cameo Systems Modeler
  • ModelCenter

SFS is an equal opportunity employer regardless of race, color, religion, creed, sex, marital status, national origin, disability, age, veteran status, on-the-job injury, sexual orientation, political affiliation or belief. Employment decisions are made without consideration of these or any other factors that employers are prohibited by law from considering. Any discriminatory action can be a cause for disciplinary action. SFS also prohibits discrimination against individuals with disabilities and will reasonably accommodate applicants with a disability, upon request, and will also ensure reasonable accommodation for employees with a disability.
Summit Federal Services, LLC is an equal opportunity employer regardless of race, color, religion, creed, sex, marital status, national origin, disability, age, veteran status, on-the-job injury, sexual orientation, political affiliation or belief. Employment decisions are made without consideration of these or any other factors that employers are prohibited by law from considering. Any discriminatory action can be a cause for disciplinary action. Summit Federal Services, LLC also prohibits discrimination against individuals with disabilities and will reasonably accommodate applicants with a disability, upon request, and will also ensure reasonable accommodation for employees with a disability.

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