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Machine Learning Engineer Quantization Jobs in Raeford, NC

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 ...

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 ...

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Controls Engineer

Maxton, NC · On-site

$68K - $88K/yr

... learning and development. Responsibilities To be successful in this role you will need the ... Leverage controls networking and system integration by connecting machines, processes, and ...

Proficiency in Python, SQL, and one or more additional scripting or programming languages (Java, SAS, etc.). * Solid understanding of machine learning and statistical modeling techniques including ...

Controls Engineer

Maxton, NC · On-site

$68K - $88K/yr

... learning and development. Cummins is an equal opportunity employer. Our policy is to provide equal ... Proficient at reading machine and assembly line electrical prints * Proficient at creating and ...

Controls Engineer

Maxton, NC

$68K - $88K/yr

... learning and development. Cummins is an equal opportunity employer. Our policy is to provide equal ... Proficient at reading machine and assembly line electrical prints * Proficient at creating and ...

Controls Engineer

Maxton, NC

$68K - $88K/yr

... learning and development. Cummins is an equal opportunity employer. Our policy is to provide equal ... Proficient at reading machine and assembly line electrical prints * Proficient at creating and ...

Controls Engineer

Maxton, NC

$68K - $88K/yr

... learning and development. Cummins is an equal opportunity employer. Our policy is to provide equal ... Proficient at reading machine and assembly line electrical prints * Proficient at creating and ...

Showing results 41-60

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:
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 Scientist with Security Clearance

Booz Allen Hamilton

Fayetteville, NC • On-site

$99K - $225K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 19 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: R0244243 Data Scientist The Opportunity: Ever-expanding technologies like IoT, machine learning, and artifi cia l intelligence are generating more structured and unstructured data than ever before. As a data scientist, you know that within this data are the patterns, trends, and insights that can drive smarter decisions and meaningful mission outcomes. We need a skilled data scientist like you to help our clients transform complex data into actionable insight that supports critical missions. As a data scientist at Booz Allen, you'll contribute to advanced analytic initiatives on some of the most mission-focused projects in the industry. You'll leverage statistical met hods, machine learning techniques, data mining, and predictive analytics to extract value from varied data sources and address complex operational challenges. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the develop ment of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
* Experience with statistical and general-purpose programming languages for data analysis
* Experience analyzing structured and unstructured data sources
* Experience develop ing predictive data models, quantitative analyses, and visualization of targeted data sources
* Experience leading the develop ment of solutions to complex programs
* Experience with natural language processing, text mining, or machine learning techniques
* TS/SCI clearance
* Bachelor's degree Nice If You Have: * Experience with Palantir Foundry
* Experience with Pipeline Builder, AIP, and Foundry's application develop ment ecosystem
* Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
* Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS
* Experience with DevOps tools and automation practices
* Experience working within a Combatant Command or DoD organization 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 $99,000.00 to $225,000.00 (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

Sourced by ZipRecruiter

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