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Machine Learning Engineer Quantization Jobs in Birmingham, AL

Forhyre

Prompt Engineers

Montevallo, AL · On-site

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

UAB NOVA RENT

DATA SCIENTIST

Birmingham, AL · On-site

$85K - $139K/yr

Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

DataAnnotation

SDLC Engineer - AI Trainer

Birmingham, AL · 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 ...

DataAnnotation

QA Engineer - AI Trainer

Birmingham, AL · 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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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Birmingham, AL

Machine Learning Engineer Quantization information

See Birmingham, AL salary details

$29.5K

$120.7K

$181.3K

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

As of Jul 8, 2026, the average yearly pay for machine learning engineer quantization in Birmingham, AL is $120,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $145,300.00 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Birmingham, AL? For Machine Learning Engineer Quantization jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Birmingham, AL look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Birmingham, AL are:
Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Birmingham, AL as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $120,681 per year, or $58 per hour.
Cyber-Physical Security Engineer

Cyber-Physical Security Engineer

4P Consulting Inc.

Birmingham, AL • On-site

Contractor

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

Our Client is looking for Cyber-Physical Security Engineer

Summary of Position Duties:

  • This position provides support to the Grid Operations and Planning Research area within Southern Company’s Research & Development.
  • The engineer will support projects and in time lead efforts to deploy and evaluate the performance of emerging technologies in this arena.
  • The position is focused on cyber-physical security research for Transmission and Distribution.
  • The engineer will support cyber-physical security projects with power system and cyber modeling, simulation, and analyses to identify and characterize threats, and vulnerabilities and develop mitigation approaches.
  • Data from various sources and analytics tools will be leveraged to develop models to characterize normal power systems and cyber data to facilitate the identification of anomalous events.
  • Working knowledge of intrusion detection, risk assessment frameworks, databases, data structures, computer networking is required as well as an aptitude to apply engineering analysis to solve problems.
*******Long Term Contract .. Estimated Duration of Job Assignment is 5 Years********************
*******Candidate will work in a hybrid work arrangement reporting in-person/in-office at least 3 days per week (12 days a month).***
Education/Qualification Requirements
• Bachelors in computer science, computer engineering, cyber security, information systems, electrical engineering or related field required
• Advanced degree in EE, computer science or other related fields strongly preferred
• Experience in cybersecurity, including cyber security modeling and simulation
• Experience with intrusion detection and risk assessment frameworks is required
• Experience in power system modeling and simulation
• Experience with data analytics including machine learning required
• Experience with computer programming (Python, C#, SQL) desired

4P Consulting Inc. is an equal opportunity employer and is committed to providing a workplace that is free from discrimination of any kind. We believe in fostering an inclusive environment where all employees, applicants, and stakeholders are treated with dignity and respect.

We are a staffing company that offers an excellent working environment for our employees. Our comprehensive benefits package includes medical coverage, 401(k) plans, disability benefits, and paid time off. We prioritize work-life balance and actively support our employees through mentorship and training opportunities to enhance their skills