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Scaler Jobs in Alabama (NOW HIRING)

Genesys

Build and scale customer advocacy by increasing referenceability, satisfaction, and Net Promoter Score outcomes * Partner cross functionally with Sales, Professional Services, Renewals, and ...

SOSi

Data Scientist

Huntsville, AL · On-site

You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable dta-driven decisions. You will perform using Scrumban techniques and be embedded with ...

4pconsultinginc

Structural Engineer 2

Birmingham, AL · On-site

This role requires extensive knowledge of structural design principles, hands-on project execution, and the ability to lead large-scale, multi-discipline engineering projects. Key Responsibilities

Turner Mining Group

Bulk Loader

Calera, AL · On-site

Accurately weigh incoming and outgoing vehicles using plant scale systems. * Generate bills of lading and shipping documentation using approved computer systems. * Complete loading tickets, shipment ...

Turner Mining Group

Plant Operator

Calera, AL · On-site

Accurately weigh incoming and outgoing vehicles using plant scale systems. * Generate bills of lading and shipping documentation using approved computer systems. * Complete loading tickets, shipment ...

4pconsultinginc

Software Engineer IV

Birmingham, AL · On-site

$114K - $151K/yr

This role requires strong experience in large-scale distributed systems, object-oriented development (.NET/Java), and enterprise-grade troubleshooting. The ideal candidate will design, develop, and ...

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How much do scaler jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for scaler in Alabama is $11.33, according to ZipRecruiter salary data. Most workers in this role earn between $11.35 and $11.35 per hour, depending on experience, location, and employer.

What is a scaler?

Scalers are professionals who work in various industries, such as construction, shipbuilding, or manufacturing, to remove scale, rust, or other surface materials from metal objects. They typically use tools like pneumatic chipping hammers, wire brushes, or grinders to clean and prepare surfaces for painting, coating, or further processing. Their work is important for ensuring the longevity and integrity of metal structures by preventing corrosion and ensuring proper adhesion of protective coatings.

What are the key skills and qualifications needed to thrive as a scaler, and why are they important?

To thrive as a Scaler, you need a solid understanding of scaling processes, attention to detail, and often a high school diploma or equivalent. Familiarity with industrial equipment, safety procedures, and sometimes certifications in handling specific machinery are commonly required. Strong teamwork, time management, and communication skills help ensure productivity and safety in the workplace. These skills and qualities are vital to maintain efficiency, meet production targets, and minimize workplace accidents.

What are some typical challenges faced by a scaler when working in a fast-paced production environment?

As a Scaler, one common challenge is maintaining accuracy and consistency while measuring and portioning products, especially during high-volume shifts. The fast-paced production environment often requires quick decision-making and the ability to adapt to changing batch specifications or production targets. Communication with team members is crucial to ensure quality standards are met and to prevent bottlenecks on the production line. Additionally, Scalers must be diligent in following safety and hygiene protocols, which can be demanding during peak periods.

What is the difference between Scaler vs Data Scientist?

AspectScalerData Scientist
Required CredentialsTypically a coding bootcamp or online courses, sometimes a degree in CS or related fieldsDegree in Computer Science, Statistics, or related fields; often advanced degrees
Work EnvironmentTech companies, startups, or online education platforms; focus on coding and technical skillsResearch, analysis, and modeling; often in corporate, research, or consulting settings
Employer & Industry UsagePrimarily in tech and education sectors; used for skill development and hiringAcross industries like finance, healthcare, tech; used for insights and decision-making

In summary, a Scaler focuses on coding skills and technical training, often preparing individuals for software roles, while a Data Scientist specializes in analyzing data, building models, and deriving insights. Both roles require strong technical skills but differ in focus and industry application.

How much does a scaler make?

A scaler's salary varies depending on experience, location, and industry, but typically ranges from $30,000 to $60,000 annually. Skilled scalers with certifications and specialized tools may earn higher wages, especially in construction or manufacturing environments.

What are popular job titles related to Scaler jobs in Alabama?

For Scaler jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Scaler jobs in Alabama look for?

The top searched job categories for Scaler jobs in Alabama are:

What are popular job titles related to Scaler jobs in AL?

For Scaler jobs in AL, the most frequently searched job titles are:

Scaler jobs near you
Infographic showing various Scaler job openings in Alabama as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 3% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $23,566 per year, or $11.3 per hour.

Mid-level Machine Learning Engineer

Astrion

Huntsville, AL • On-site

Full-time

Re-posted 4 days ago

Job description

Overview
Machine Learning Engineer
JOB LOCATION: Huntsville, Al
JOB STATUS: Full-time
CLEARANCE: TS/SCI w CI/Poly
TRAVEL: As needed
Astrion seeking a Machine Learning Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama.
This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.
The ideal candidate will have a background in AI/ML model development and deployment and have experience in Python programming, handling SQL databases, and working in command line interfaces.
The team will work with technologies including:
  • Open source, commercial, and government software packages such as Docker, Python, Jupiter Notebooks, PostgreSQL, and other tools.
  • Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.

Work Environment
  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.
  • May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

REQUIRED QUALIFICATIONS / SKILLS
  • TS/SCI with CI Polygraph
  • Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field.
  • 1-3 years of experience working with ML frameworks
  • Programming proficiency in Python and extensive knowledge of ML frameworks, libraries data structures, and data modeling.
  • Solid understanding of the full ML development lifecycle.
  • Experience working with SQL and NoSQL databases.
  • Experience with both Linux and Windows operating systems.
  • Knowledge of CI/CD and Agile methodologies.
  • Understanding of software design and system integration.

PREFERRED QUALIFICATIONS / SKILLS
  • Experience with petabyte scale data sets
  • Experience with multi-INT analytics
  • Experience deploying, monitoring, and scaling models in production environments

RESPONSIBILITIES
  • Integrate ML systems with other software components, ensuring that machine learning pipelines work within the overall product architecture.
  • Manage the transition from prototype to production, including setting up model deployment pipelines and monitoring solutions.
  • Construct optimized data pipelines to feed ML models; run tests and experiments and document findings.
  • Monitor model performance post-deployment including managing model drift, rollback, and failure scenarios.
  • Write clean, testable, maintainable code in Python and other languages.

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