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Machine Learning Engineer Quantization Jobs in Birmingham, AL

Tocaro Blue

Senior Software Engineer

Birmingham, AL · On-site

$120K - $145K/yr

... machine learning models to deliver real-time situational awareness. We are looking for a Senior ... Software Engineer whose primary role will be to architect and develop software applications ...

Tocaro Blue

Senior Software Engineer

Birmingham, AL · On-site

$120K - $145K/yr

... machine learning models to deliver real-time situational awareness. We are looking for a Senior ... Software Engineer whose primary role will be to architect and develop software applications ...

4pconsultinginc

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

Machine learning techniques * Data mining * Statistical analysis * Translate business requirements into technical data solutions Data Engineering & Integration Support * Work with ETL processes and ...

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

... for machine learning and data science workflows. This role helps ensure geospatial data is ... Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source ...

GPC - Genuine Parts Company

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer IV performs complex data operations focusing on transformation and quality ... Ability to automate and operationalize machine learning workflows. * Applies knowledge to analyze ...

4pconsultinginc

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Prepare data pipelines to enable machine learning workflows DevOps & Modern Engineering Practices * Implement CI/CD pipelines for data engineering deployments * Work within Agile development ...

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 ...

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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.
Data, Analytics & AI Engineer ONI

Data, Analytics & AI Engineer ONI

O'Neal Industries, Inc.

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Posted yesterday

New

Job description

Responsibilities Include but Are Not Limited To:

 Data Engineering & Analytics Platform

  • Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from ERP, EHS, operational, and corporate systems.
  • Develop and manage curated data models in Azure SQL and future MS Fabric environment lake house or warehouse architectures to support analytics, AI, and reporting use cases.
  • Ensure data quality, consistency, and performance across pipelines, models, and downstream consumers.
  • Contribute to data architecture standards, patterns, and best practices as ONI evolves toward Microsoft Fabric.

Analytics & Reporting

  • Develop and maintain Power BI semantic models, dashboards, and reports that deliver actionable insights to executives and business teams.
  • Partner with stakeholders to translate business questions into metrics, KPIs, and analytical solutions.
  • Promote selfservice analytics through welldesigned datasets, documentation, and governance.

AI, Machine Learning & Agentic Workflows

  • Identify, prototype, and deliver AI and machine learning solutions that improve decisionmaking, forecasting, anomaly detection, classification, and automation.
  • Design and implement agentic workflows that combine data, analytics, and AI models to automate multistep business processes, decision support, and operational actions.
  • Leverage Azurebased AI services and emerging Fabric capabilities (e.g., notebooks, ML, realtime intelligence) to operationalize AI solutions.
  • Act as an internal advocate and advisor on responsible AI adoption, helping business units understand practical and strategic AI opportunities.

 Collaboration & Delivery

  • Collaborate with IT, security, and DevOps teams to ensure solutions align with enterprise standards for security, compliance, and reliability.
  • Partner with affiliate companies and crossfunctional ONI teams as a resource on key initiatives.
  • Prioritize, scope, and manage data and AI initiatives with clear success metrics and business outcomes.

 Continuous Improvement & Innovation

  • Explore, evaluate, and pilot new data, analytics, and AI technologies with a bias toward business value.
  • Contribute to a culture of datadriven decisionmaking, experimentation, and continuous improvement across ONI.

Required Skills, Abilities and Education:

  • Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
  • Strong experience building and supporting data pipelines and system integrations, preferably with Azure Data Factory and/or Boomi.
  • Proficiency in SQL and relational data modeling; experience with Azure SQL Database or similar platforms.
  • Handson experience developing and maintaining analytics and semantic models using Power BI.
  • Programming experience in one or more languages such as Python (including notebooks), with the ability to apply them to data engineering, analytics, and AI use cases.
  • Experience applying AI/ML techniques to realworld business problems, including model development, evaluation, and operationalization.
  • Strong analytical thinking, problemsolving, and attention to detail.
  • Ability to communicate complex technical concepts clearly to both technical and nontechnical audiences.
  • Selfdriven, curious, and comfortable working in a dynamic, evolving technical environment.

 Desirable Skills, Abilities and Education:

  • Experience or strong interest in Microsoft Fabric, including lake house, warehouse, notebooks, real time analytics, and AI workloads.
  • Familiarity with agentic AI patterns, workflow orchestration, and automation platforms.
  • Experience supporting enterprise data platforms in regulated or security conscious environments.
  • Understanding of modern data architecture concepts (ELT, semantic layers, governance, lineage).
  • Experience working within large, distributed organizations or multi affiliate environments.
  • Strong customer focused mindset with the ability to manage expectations and build trusted partnerships.

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