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Machine Learning Engineer Jobs in Brunswick, GA (NOW HIRING)

American Cruise Lines

Engineer - Licensed

Brunswick, GA · On-site

Engineers provide 24-hour response to machinery and system issues and oversee the operation, maintenance, and troubleshooting of all vessel equipment, including pumps, motors, engines, electrical and ...

ssi

Software Engineer I

Brunswick, GA

Software Engineer I Job Code SEI.401.002 FLSA Status Exempt Job Family Data Management Cost Center 401 Purpose of Position As a Software Engineer I , you will participate in the complete software ...

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Brunswick, GA

Machine Learning Engineer information

See Brunswick, GA salary details

$28.4K

$116.2K

$174.6K

How much do machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning engineer in Brunswick, GA is $116,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $139,900.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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.

More about Machine Learning Engineer jobs
What cities near Brunswick, GA are hiring for Machine Learning Engineer jobs? Cities near Brunswick, GA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Brunswick, GA as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $116,209 per year, or $55.9 per hour.

Engineer - Licensed

American Cruise Lines

Brunswick, GA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Job description

Engineer - Licensed
American Cruise Lines is seeking Engineers for our growing fleet sailing unique itineraries along inland and coastal waterways of the East Coast, Pacific Northwest, Columbia-Snake Rivers, Great Lakes, and Mississippi-Ohio-Cumberland-Tennessee-Arkansas Rivers. Our U.S. flag ships are state-of-the art designed for safe operation and five-star service to 100-200 guests.
The Engineer is responsible for the overall technical operation, maintenance, and safe performance of the ship, ensuring the efficient functioning of propulsion, auxiliary, and onboard systems in full compliance with maritime regulations. Engineers provide 24-hour response to machinery and system issues and oversee the operation, maintenance, and troubleshooting of all vessel equipment, including pumps, motors, engines, electrical and plumbing systems, water makers, marine safety devices, elevators, electronics, launches, rescue craft, and other critical systems.
Engineers report directly to the ship's Captain regarding daily vessel operations and maintenance, while coordinating repairs, professional development, scheduling, training, and mentoring in collaboration with Regional Port Engineers.
At American Cruise Lines, we are driven by our values-Optimism, Commitment, Patriotism, and Merit. These values shape our culture, our service, and our people, guiding us as we work together to Share America's Story on the Finest American Ships.
Responsibilities:
  • Operate, maintain, and troubleshoot all shipboard machinery, including propulsion, auxiliary, and electrical systems.
  • Conduct regular inspections and provide 24-hour response for technical issues and emergencies.
  • Support vessel docking, logistics, and operational maintenance as needed.
  • Implement maintenance schedules to keep equipment in optimal condition.
  • Ensure compliance with company policies, maritime regulations, and safety standards.
  • Document maintenance, repairs, liquid transfers, and inventory.
  • Execute emergency procedures for technical incidents such as engine failures, fires, or flooding.
  • Promote safety culture and supervise crew adherence to protocols.
  • Maintain a safe, clean, and comfortable environment for passengers and crew.
  • Conduct daily Deck Security Watch.
  • Optimize fuel consumption to reduce costs and environmental impact.
  • Manage spare parts, supplies, and liquid transfers.
  • Oversee contractor repairs on machinery and systems.
  • Collaborate with Hotel Officers and Service Crew to support five-star guest service.
  • Maintain exemplary grooming, uniform appearance, and professional conduct.

Work Schedule:
  • 7 days per week while onboard.
  • Year-round rotation, 4 weeks on, 4 weeks off.
  • This is a full-time, exempt position.

Qualifications:
  • Valid Merchant Mariner Credential (MMC).
  • Experience with diesel machinery, hydraulics, and electrical systems.
  • Knowledge of shipboard machinery and auxiliary systems.
  • Strong work habits, self-discipline, and attention to personal grooming.
  • Good communication, teamwork, and problem-solving skills.
  • Ability to follow technical procedures and assist with maintenance and troubleshooting.
  • TWIC - Transportation Worker Identification Card.
  • Pre-employment drug test and participation in ongoing random testing.
  • Ability to perform the essential functions of the job with or without accommodation.

Essential Functions:
  • Ships experience forces from wind, waves, and currents, prompting them to exhibit six distinct motions known as ship motions. The six motions are surge, sway, heave, roll, pitch, and yaw. This position requires the ability to live and satisfactorily perform job duties in an environment that is subject to constant motion.
  • Ability to work around 12 hours per day.
  • Ability to assist in the event of an on-board emergency by quickly climbing up a ladder, opening, and passing through a 20" diameter hatch.
  • Ability to stand for your entire shift.
  • Ability to frequently lift up to 20 lbs. and occasionally lift up to 50 lbs.
  • Ability to frequently bend, squat and reach.
  • Ability to live and work on board a vessel for extended periods of time.
  • Ability to use stairs frequently.

Compensation and Benefits:
  • Competitive daily pay rate.
  • Health, dental, vision, and 401(k) with match.
  • Covered Expenses: American Cruise Lines provides travel, room and board, uniforms, and training.

Applicant Acknowledgment
By proceeding to apply for the above position, I acknowledge that I have read and understand the description of the job position for which I am applying, I agree that it accurately reflects the essential functions of the position, and I represent that I can complete the essential functions of the position.
Equal Opportunity Employer
American Cruise Lines is committed to providing equal employment opportunities for all employees and applicants. ‎American Cruise Lines bases all employment decisions on business needs, job requirements, and individual ‎qualifications without regard to protected characteristics, including, but not limited to, race, color, religion, sex (including pregnancy), national origin and citizenship, age (40 and over), disability (including perceived disability), generic information, military service, or any other protected characteristic under applicable federal, state, or local law. ‎This policy applies to all aspects of employment and employment decisions, including, but not limited to, ‎hiring, selection, job assignment, training, compensation, promotion, discipline, termination, and access ‎to benefits.‎
*Job sites across the nation.
This job description is not intended to be a comprehensive list of the duties and responsibilities of the position and such duties and responsibilities may change without notice.

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