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Machine Learning Engineer Quantization Jobs in Raeford, NC

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton

Data Scientist

Fayetteville, NC

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with statistical and general-purpose programming languages for data analysis

Booz Allen Hamilton

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artifi cia l intelligence are ... Experience with statistical and general-purpose programming languages for data analysis

Booz Allen Hamilton

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with statistical and general-purpose programming languages for data analysis

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artifi cia l intelligence are ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

Booz Allen Hamilton

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artifi cia l intelligence are ... Experience with DevOps tools and automation practices * Experience working within a Combatant ...

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Showing results 21-40

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Raeford, NC

Machine Learning Engineer Quantization information

See Raeford, NC salary details

$26K

$106.2K

$159.6K

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

As of Aug 7, 2026, the average yearly pay for machine learning engineer quantization in Raeford, NC is $106,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $127,900.00 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 job categories do people searching Machine Learning Engineer Quantization jobs in Raeford, NC look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Raeford, NC are:
What cities near Raeford, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Raeford, NC 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 Raeford, NC 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 $106,242 per year, or $51.1 per hour.

Data Engineer

Booz Allen Hamilton

Fayetteville, NC • On-site

$77K - $176K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 26 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description

Job Number: R0239251
Data Engineer
The Opportunity:
Rapid advances in IoT, machine learning, and artifi cia l intelligence mean organizations have access to more data than ever before-both structured and unstructured. Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms.
As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power mission-critical outcomes. You will work on complex, high-impact programs that help clients solve real-world challenges with data.
You'll collaborate with analysts, AI engineers, develop ers, and stakeholders in a fast-paced, agile environment. In this role, you will lead technical efforts across assessment, design, develop ment, and sustainment of scalable data platforms while mentoring teammates and driving best practices.
What You'll Work On:
  • Design, build, and maintain scalable data pipelines and platforms.
  • Develop secure, efficient Python for data processing, automation, and warehousing.
  • Migrate and integrate data from on-premises systems to cloud environments.
  • Implement CI / CD pipelines to automate build, test, and deployment workflows.
  • Develop SQL scripts and stored procedures for data processing and transformation.
  • Apply data modeling best practices.
  • Support data governance, met adata tagging, and access controls.
  • Partner with cross-functional teams to deliver end-to-end data solutions.
  • Provide technical guidance in a complex enterprise environment.

Join us. The world can't wait.
You Have:
  • 2+ years of experience as a data engineer supporting large-scale enterprise systems
  • Experience writing clean, secure, and efficient Python for data engineering use cases
  • Experience moving data from on-prem environments to the cloud and automating develop ment workflows, including building, deploying, or managing applications
  • Experience with CI / CD practices
  • Experience with SQL, including stored procedures and data modeling
  • Experience with data governance and data tagging
  • Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda
  • Ability to work independently and manage tasks with minimal supervision
  • TS/SCI clearance
  • HS diploma or GED

Nice If You Have:
  • Experience with Pipeline Builder, AIP, and Foundry's application develop ment ecosystem
  • Experience with ETL tools, such as dbt and Airflow
  • Experience with NoSQL and graph databases, and DevOps tools and automation practices
  • Experience designing and building data warehouses
  • Experience working in multiple SDLC models, including Agile, Waterfall, Iterative, or Spiral
  • Experience with open table formats, such as Apache Iceberg
  • Experience with infrastructure-as-code, including Terraform or CloudFormation
  • Knowledge of data lakes and lakehouse architectures and database performance concepts, such as partitioning
  • Knowledge of Zero T rus t and attribute-based access control ( ABAC )

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
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, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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