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Machine Learning Engineer Quantization Jobs in Wilson, NC

... engineer/solution architect designing and delivering large scale distributed software systems ... Experience in Machine Learning, Deep Learning, Data Science Experience with Cloud architecture ...

... engineer/solution architect designing and delivering large scale distributed software systems ... Optional Skills: • Experience in Machine Learning, Deep Learning, Data Science • Experience ...

Machine Operator-Kinston,North Carolina

Goldsboro, NC · On-site

$13.25 - $15.75/hr

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Interprets blueprints, sketches, and engineering specifications; determines sequence of operations ...

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

Manufacturing / Quality Engineer

Whitakers, NC · On-site

$65K - $84K/yr

... learning. Visit www.collabera.com to learn more about our latest job openings. Awards and ... the Machining PFMEA's. Individual will be involved in the review and updates of PFMEA's as well ...

... like machine learning, screen capturing, data analysis and other cognitive skill sets? • Do you ... re-engineering and technological changes? • Do you have a curious nature, and are always ...

... promotes learning and growth, offering opportunities to develop your skills and advance within a ... You will work on CNC machines that are already set up and programmed by CNC programmers and ...

Embrace learning through experimentation, using both successes and failures as opportunities to ... and programming techniques to optimize operations. * Program Machines : Design and implement ...

Embrace learning through experimentation, using both successes and failures as opportunities to ... and programming techniques to optimize operations. * Program Machines : Design and implement ...

Embrace learning through experimentation, using both successes and failures as opportunities to ... and programming techniques to optimize operations. * Program Machines : Design and implement ...

Embrace learning through experimentation, using both successes and failures as opportunities to ... and programming techniques to optimize operations. * Program Machines : Design and implement ...

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Machine Learning Engineer Quantization information

See Wilson, NC salary details

$27.5K

$112.5K

$169.1K

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

As of Jun 20, 2026, the average yearly pay for machine learning engineer quantization in Wilson, NC is $112,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $135,500.00 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 Wilson, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Wilson, NC with the most Machine Learning Engineer Quantization job openings:
Infographic showing various Machine Learning Engineer Quantization job openings in Wilson, NC as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $112,546 per year, or $54.1 per hour.
Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead f...

Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead f...

Truist

Wilson, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Truist rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Deliver technically advanced solutions in support of Truist's Anti-Money Laundering (AML) Technology initiatives, with a focus on Machine Learning and Generative AI use cases. Partner with application teams, product owners, and internal stakeholders to design, guide, and implement model-driven solutions. Provide subject matter expertise throughout the model lifecycle, from concept through governance, approval, and deployment.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Serve as a technical advisor across AML Technology teams for Machine Learning and Generative AI initiatives, supporting multiple use cases and applications.

  • Collaborate with application teams, vendors, and internal partners to design, develop, and deploy predictive and AI-driven models aligned with financial crime detection objectives.

  • Provide expertise in model development, integration, and deployment - including supporting teams in configuring solutions, performing analysis, and enabling scalable implementations.

  • Guide and influence best practices for Machine Learning and AI adoption within AML Technology, helping define standards, approaches, and reusable frameworks.

  • Lead and contribute to model lifecycle activities, including development, testing, validation support, implementation, and post-deployment monitoring.

  • Support development of required model documentation, including Model Definition Documents (MDD), and ensure alignment with internal standards and regulatory expectations.

  • Partner with application teams to navigate AI governance processes, including model review, validation, risk assessment, and approval workflows required for production deployment.

  • Build and support monitoring, performance evaluation, and controls for models and associated applications in production environments.

  • Ensure adherence to security, compliance, and enterprise technology standards across all implemented solutions.

  • Help solve complex technical and operational challenges related to model integration, data pipelines, and AI deployment in enterprise systems.

  • Act as a mentor and resource for teammates, providing guidance on Machine Learning techniques, financial crime use cases, and technical implementation strategies.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.

  • Minimum of 3 years of experience in information security, systems analysis, or related technical field.

  • Foundational knowledge of data security principles, system architecture, and security controls.

  • Experience or exposure to system monitoring, data analysis, or risk identification activities.

Preferred Qualifications:

  • Strong experience with Machine Learning techniques, model development, and deployment in enterprise environments.

  • Exposure to Generative AI technologies and frameworks (e.g., LLMs, prompt engineering, model orchestration).

  • Working knowledge of financial crimes / AML domain concepts (e.g., transaction monitoring, suspicious activity detection, fraud analytics).

  • Experience supporting or contributing to model governance, validation, or regulatory processes.

  • Strong foundation in data structures, algorithms, and software engineering principles.

  • Familiarity with open-source ML frameworks and tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn).

  • Experience with cloud platforms such as AWS, Azure, or GCP, including ML/AI services.

  • Experience with data platforms, SQL, and data modeling.

  • Familiarity with CI/CD pipelines and tools such as Git, Jenkins, Maven.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019