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Machine Learning Engineer Quantization Jobs in Birmingham, AL

Bespoke Labs

Machine Learning Engineer

Birmingham, AL · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Tocaro Blue

Senior Machine Learning Engineer

Birmingham, AL · On-site

$130K - $162K/yr

As a Senior Machine Learning Engineer , you will build ML models for object detection, semantic segmentation, and tracking. You'll design algorithms capable of distinguishing vessels, land, shoreline ...

Tocaro Blue

Senior Machine Learning Engineer

Birmingham, AL · On-site

$130K - $162K/yr

As a Senior Machine Learning Engineer , you will build ML models for object detection, semantic segmentation, and tracking. You'll design algorithms capable of distinguishing vessels, land, shoreline ...

Tocaro Blue

Staff Machine Learning Engineer

Birmingham, AL · On-site

$155K - $190K/yr

As a Staff Machine Learning Engineer , you will be the lead architect of Radar (and secondary EO/IR) models for object detection, semantic segmentation, and tracking. You'll design algorithms capable ...

Tocaro Blue

Staff Machine Learning Engineer

Birmingham, AL · On-site

$155K - $190K/yr

As a Staff Machine Learning Engineer , you will be the lead architect of Radar (and secondary EO/IR) models for object detection, semantic segmentation, and tracking. You'll design algorithms capable ...

Varsity Tutors

Machine Learning Tutor

Birmingham, AL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Pwc

AI Engineer

Birmingham, AL

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... using quantization, inference acceleration, and model-routing techniques - Designing agent ...

Pwc

AI Solutions Engineering Delivery Lead

Birmingham, AL · On-site

$96K - $126K/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 ...

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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 Sep 7, 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,681 per year, or $58 per hour.

Machine Learning Engineer / Predictive Analyst

Vaco by Highspring

Birmingham, AL • On-site

Other

Dental, Vision, Retirement

Posted 13 days ago

Key responsibilities

  • Design, build, test, and deploy machine learning and predictive analytics models using large-scale structured and unstructured datasets

  • Develop forecasting and predictive modeling solutions supporting sales, marketing, and operational business initiatives

  • Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions

Job description

Machine Learning Engineer / Predictive Analytics Consultant
Preferred Locations: Birmingham, AL or Dallas, TX 
Position Overview
We are seeking a hands-on Machine Learning Engineer / Predictive Analytics Consultant to join an established machine learning team focused on scaling predictive analytics capabilities across the business. This role will support high-impact initiatives primarily focused on sales and marketing forecasting, predictive modeling, and business intelligence transformation efforts.
The organization has already built out a mature cloud and big data environment and is now focused on increasing delivery capacity, accelerating project timelines, and expanding the team’s ability to support growing business demand. This individual will help transition the business beyond traditional dashboarding and reporting into forward-looking predictive analytics and forecasting solutions.
This is a highly collaborative but autonomous role requiring someone who can operate with minimal guidance, solve complex business problems independently, and deliver practical machine learning solutions at enterprise scale.
Key Responsibilities
  • Design, build, test, and deploy machine learning and predictive analytics models using large-scale structured and unstructured datasets
  • Develop forecasting and predictive modeling solutions supporting sales, marketing, and operational business initiatives
  • Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions
  • Perform exploratory data analysis, feature engineering, model selection, validation, tuning, and performance optimization
  • Work with existing enterprise-scale cloud and big data environments to support scalable analytics initiatives
  • Help increase team throughput by accelerating project delivery and supporting a growing backlog of analytics requests
  • Collaborate with cross-functional teams including analytics, engineering, and business leadership
  • Communicate analytical findings and model outcomes clearly to both technical and non-technical stakeholders
  • Contribute to ongoing improvements in predictive analytics processes, scalability, and operational efficiency
Required Qualifications
  • 5+ years of experience in Machine Learning, Predictive Analytics, Data Science, or related data-focused roles
  • Strong hands-on experience with:
    • Python
    • SQL
    • Spark / PySpark  (Nice to have)
    • Snowflake (Nice to have)
  • Experience building machine learning and predictive models from the ground up
  • Experience working with large-scale datasets and distributed data processing environments
  • Strong understanding of statistical analysis, forecasting, predictive modeling, and machine learning methodologies
  • Experience operating within cloud-based analytics ecosystems (AWS, Azure, or GCP)
  • Proven ability to work independently with minimal direction
  • Strong analytical thinking and problem-solving skills
  • Ability to translate business problems into scalable technical solutions
Preferred Qualifications
  • Experience supporting sales and marketing analytics initiatives
  • Experience with forecasting and business performance prediction models
  • Experience working in enterprise-scale machine learning environments
  • Exposure to Databricks or similar modern data platforms
  • Experience communicating directly with business stakeholders and leadership teams
Ideal Candidate Profile
The ideal candidate is not someone who simply executes assigned tasks. We are looking for a proactive problem solver who can independently identify opportunities, work through ambiguity, and deliver practical machine learning solutions that drive measurable business value. This individual should be comfortable operating in a fast-paced environment with evolving priorities and growing demand for predictive analytics capabilities.
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

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