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Machine Learning Engineer Quantization Jobs in Little Rock, AR

Robert Half

Cyber Security Engineer

Little Rock, AR · On-site

$110K - $125K/yr

... machine learning environments, including protections for models, sensitive data, user access, and ... engineering, information security, or security operations roles. • Demonstrated ability to ...

Pwc

NGA AI Engineer Manager

Little Rock, AR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Senior Manager

Little Rock, AR

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

General Motors

Senior AI/ML Engineer

Little Rock, AR · On-site +1

$100K - $137K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

Bausch + Lomb

AI Agent ML Engineer

Little Rock, AR

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

Pwc

ERP AI Engineer - Senior Associate

Little Rock, AR · On-site

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of ...

New

Rishabh Software Pvt. Ltd

AI Engineer

Little Rock, AR

$109K - $131K/yr

Utilize a variety of programming languages and tools to build and deploy machine learning models. * Support both batch and real-time inference pipelines in collaboration with Data Science and Applied ...

GE Aerospace

Software Engineer AI/ML

Little Rock, AR

$109K - $131K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ...

Pwc

AI & GenAI Data Scientist - Manager

Little Rock, AR · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

DataAnnotation

SDLC Engineer - AI Trainer

Little Rock, AR · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Showing results 1-20

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Little Rock, AR

Machine Learning Engineer Quantization information

See Little Rock, AR salary details

$30.2K

$123.5K

$185.6K

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 Little Rock, AR is $123,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,700.00 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 job categories do people searching Machine Learning Engineer Quantization jobs in Little Rock, AR look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Little Rock, AR are:
Machine Learning Engineer Quantization jobs near you
Cyber Security Engineer

Cyber Security Engineer

Robert Half

Little Rock, AR • On-site

$110K - $125K/yr

Full-time

Posted 7 days ago

Job description

We are looking for a Cyber Security Engineer to help strengthen and advance our security program in Little Rock, Arkansas. This role focuses on protecting enterprise systems, cloud environments, and AI-enabled technologies through effective controls, monitoring, and risk management. The ideal candidate brings hands-on experience in threat detection, incident response, and security engineering, along with the ability to partner across technical teams to improve resilience and compliance.
Responsibilities:
• Create and refine security policies, governance practices, and technical standards that support the safe adoption of artificial intelligence solutions.
• Oversee security monitoring across infrastructure, networks, cloud services, endpoints, and business applications to identify and respond to potential threats.
• Lead vulnerability reviews, risk evaluations, and coordinated penetration testing efforts to uncover weaknesses and drive corrective action.
• Investigate security events, diagnose root causes, and resolve incidents and control gaps within established response timelines.
• Implement safeguards for AI and machine learning environments, including protections for models, sensitive data, user access, and operational risk.
• Use security platforms and endpoint detection tools to perform ongoing analysis of logs, alerts, and suspicious activity across the environment.
• Partner with cloud, infrastructure, development, and IT teams to improve defensive controls and strengthen the overall security posture.
• Support incident response planning by defining procedures, assisting with containment and recovery, and contributing to post-incident analysis.
• Recommend and deploy enhancements related to network defense, endpoint security, identity management, cloud protection, and data security measures.
• Prepare risk documentation, remediation plans, and leadership-facing updates while helping maintain alignment with recognized security frameworks and standards.• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
• At least 5 years of experience in cybersecurity engineering, information security, or security operations roles.
• Demonstrated ability to develop security policies, governance guidelines, and operational security procedures.
• Working knowledge of AI and machine learning security considerations, including data protection and model-related risks.
• Experience with security monitoring and vulnerability management tools such as Splunk, Sentinel, CrowdStrike, Defender, Rapid7, Tenable, or Qualys.
• Strong understanding of network security, firewalls, endpoint protection, identity and access management, Zero Trust concepts, and cloud security principles.
• Hands-on experience with vulnerability remediation, incident investigation, and response activities.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform, along with strong analytical and troubleshooting skills.
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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948

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