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Machine Learning Engineer Jobs in Phenix City, AL

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Machine Learning Engineer information

See Phenix City, AL salary details

$28.4K

$116K

$174.2K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Phenix City, AL is $115,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $139,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Phenix City, AL are hiring for Machine Learning Engineer jobs?

Cities near Phenix City, AL with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Phenix City, AL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,955 per year, or $55.7 per hour.

$14.25 - $18.75/hr

Full-time

Re-posted 9 hours ago


Challenge Manufacturing rating

5.8

Company rating: 5.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

519th of 540 rated manufacturers


Job description

Who We Are: Challenge Manufacturing's mission is to manufacture with operational excellence by empowering our employee-owners. As a leading tier 1 supplier of complex metal assemblies for the global automotive industry, we drive innovative solutions for future mobility. We believe the best ideas come from individual unique perspectives. These ideas combined with the teamwork of industry leaders allow us to accomplish any challenge. Our team members take pride in the work we do and embody our core values of safety, ownership, and teamwork every day; they are the true driving force in our operations.


Challenge is proud to be one of the largest employee-owned automotive companies in North America. One of the many benefits of joining the Challenge team is the ESOP program. This program allows Challenge to give shares of the Company to all employee-owners annually. These shares are an additional retirement benefit that will continue to grow during your time at Challenge. Being part of an ESOP means our employee-owners share in Challenge's success!


Challenge is#QualityDriven and #PeoplePowered!


Who We Want:

Has primary responsibility for monitoring up to 1,000 Ton Automatic presses ensuring quality stampings are produced per the Challenge Manufacturing Quality Standards, production orders and engineering specifications. Performs necessary quality checks, records information in PLEX (Enterprise Resource Planning system -ERP) and performs general utility work to meet work schedule.

What You'll Do:

  • Performs all duties to ensure department and plant meet daily and weekly production requirements.
  • References production orders in Plex to stamp product per Job Element Sheet (JES).
  • Select and load correct coils in stamping press in order to produce a quality stamping.
  • Frequently lifts/moves, pulls/pushes, and/or positions products and materials weighing up to xx pounds, occasionally weighing more (assistance given with heavier objects by work partner[s]), throughout assigned work center. Press operations involve frequent standing, walking, bending, twisting, turning, and lifting.
  • May select proper rack or bin to pack parts and/or store parts for next process.
  • Properly packs parts in correct pin/storage container per packaging instructions to meet customer requirements. Ensures proper labeling requirements are followed. Uses personal computer (PC), Plex system, keyboard, and mouse.
  • Completes on-line work center and operator inspection sheets to verify process are stable and all visual inspection and gage requirements are being met.
  • Visually inspects parts from stamping press per Challenge Manufacturing quality standards to ensure proper form, fit, and function. Ensures customer and Challenge Manufacturing quality standards are met per gage instructions, first piece inspection approval, problem containment processes, quality alerts and other quality standards called out in the Challenge Manufacturing Quality Policy and/or Plex System specific for each work center.
  • Ensures and maintains safety and cleanliness of work area by performing housekeeping duties.
  • Performs and cross trains on various work centers as required.
  • Completes appropriate paperwork and other documentation (hourly count boards).
  • Meets daily production requirements.

When and Where:

This will be a 3rd Shift / 730PM-6AM M-TH position located at our Plant in Cusseta, AL.

Occasionally, this may require you to arrive early, stay late, or work on weekends, outside of our regular hours, to ensure we successfully meet customer needs, deadlines, or urgent requests.

What You Need to Have:

  • High School Graduate or equivalent
  • One year of manufacturing experience
  • Ability to read, write, speak, and understand English at a level sufficient to safely and effectively perform job duties, including following work instructions, safety procedures, and company communications.
  • Has high standards of performance for self. Takes responsibility for actions, results, and mistakes. Is thorough, accurate, and reliable when performing and completing job tasks; demonstrates honesty and integrity in all aspects of work.
  • Takes positive action to objectively resolve conflict by listening, staying focused on issue to find resolution, and monitoring progress. Maintains positive relationships by constructively resolving conflicts.
  • Uses feedback from others to continuously improve performance and work relationships.
  • Moves within own and/or other work areas (flexes) to support plant flow. Works with sense of urgency to meet needs of customers.
  • Has necessary experience, skills, and knowledge to perform all aspects of job; rotates through all job responsibilities. Maintains knowledge and skills to perform job effectively.
  • Has ability to focus on benefits of change and see it as positive; approaches change or newness in constructive/objective manner; views change as learning opportunity.
  • Looks for good in others; works collaboratively with others; shares information and knowledge.
  • Is at work when scheduled and ensures coverage when absent; takes timely breaks/lunches; uses time wisely. Must be able to understand and follow written and verbal workplace instructions
  • Must be able to work up to 12 hours per day including Saturday and Sunday
  • Ability to read and interpret job element sheets
  • Ability to use a variety of gages (functional, go/no go) required
  • PC and keyboard/mouse skills required
  • Ability to frequently lift/move material weighing up to 40 pounds
  • Ability to work as a contributing member within team environment
  • Must be 18 years of age or older
    Able to stand for 8-10 hours a day and be physically capable of performing the essential functions of the position, with or without reasonable accommodation.
    Ability to read, write, speak, and understand English at a level sufficient to safely and effectively perform job duties, including following work instructions, safety procedures, and company communications.

What Challenge Manufacturing employees say

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Benefits

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