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Machine Learning Co Op Jobs in Grovetown, GA (NOW HIRING)

Syensqo

Mechanical Reliability Engineer

Augusta, GA · On-site

$84K - $135K/yr

Strategies to correct including proactive maintenance strategies, machine modifications, capital ... Opportunities for growth and learning * Encouraging a diverse and inclusive workplace culture that ...

Syensqo

Mechanical Reliability Engineer

Augusta, GA · On-site

$84K - $135K/yr

Strategies to correct including proactive maintenance strategies, machine modifications, capital ... Opportunities for growth and learning * Encouraging a diverse and inclusive workplace culture that ...

REXEL

Quotations Specialist - Remote

Augusta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Operates a computer and other office machinery - Constantly - at least 51% * Stoop, kneel, crouch ... Must be able to use senses to effectively communicate with co-workers and clients and detect ...

YMCA of Metropolitan Atlanta

Receptionist

Augusta, GA · On-site

$14.75 - $19.50/hr

... learning; give 58,000 youth and teens access to sports, aquatics, day and resident camps, teen ... Maintain Break Room - AM/Start & PM/Empty Coffee Machine. * Monitors Emergency Response System.

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Showing results 21-27

All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Grovetown, GA

Machine Learning Co Op information

See Grovetown, GA salary details

$23.3K

$38.9K

$80.4K

How much do machine learning co op jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning co op in Grovetown, GA is $38,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What cities near Grovetown, GA are hiring for Machine Learning Co Op jobs?

Cities near Grovetown, GA with the most Machine Learning Co Op job openings:

Machine Learning Co Op jobs near you

Mechanical Reliability Engineer

Syensqo

Augusta, GA • On-site

$84K - $135K/yr

Full-time

Re-posted yesterday

Syensqo rating

8.6

Company rating: 8.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

16th of 100 rated chemical manufacturers

Job description

Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come.
We are looking for:
The Mechanical Reliability Engineer will be a member of the technical team that is responsible for safe, reliable, and cost-effective maintenance and mechanical reliability of the Augusta, GA plant. They are responsible for maximizing the reliability of unit operations, executing small capital projects, and leading efforts to improve reliability and support Operational Excellence.
We count on you for:
  • Assist in the development and implementation of strategies for equipment reliability improvement by working with the Operations and Maintenance organizations
  • Manage all aspects of the plant's Mechanical Integrity Reliability Program, leading team problem solving groups, implementing maintenance standards (lubrication, vibration, balancing, alignment, precision maintenance, bearing handling, etc.), Predictive/Preventive Maintenance optimization, failure analysis, vibration analysis and all necessary reporting
  • Uses KPI reports and SAP historical logs to identify areas of the process that are not performing satisfactorily and implement Asset Management
  • Strategies to correct including proactive maintenance strategies, machine modifications, capital investment needs, changing operating procedures, etc.
  • Evaluates and implements appropriate preventative maintenance schedules and predictive maintenance technologies
  • Apply Failure Modes and Effects Analysis (FMEA) and Root Cause Failure
  • Analysis (RCFA) to improve plant performance
  • Assist in the development of training for craftsmen, including:

1. Machinery lubrication best practices
2. Power transmission alignment and maintenance
3. Vibration and infrared analysis 4. Pump and solids handling maintenance
  • Interface with equipment suppliers to improve overall equipment reliability
  • Provide Technical Support of projects to ensure optimal life cycle performance
  • Assist maintenance in the scope of equipment repair and provide troubleshooting assistance/failure identification to Operations

You can count on us for:
  • We offer the opportunity to join an exciting growth company
  • A full range of benefits as expected of a successful company
  • Opportunities for growth and learning
  • Encouraging a diverse and inclusive workplace culture that values and respects individual differences and backgrounds

You will bring:
  • Bachelor's degree in Mechanical Engineering
  • 5+ years experience in manufacturing; Familiarity with chemical processing industry equipment a plus
  • Team leadership skills
  • Small project management skills (typically < $100k)
  • Project concept, premise, and economic justification development experience
  • SAP PM experience a plus
  • Six Sigma and/or Lean Manufacturing experience preferred
  • Hands-on field machinery expertise preferred

You will get:
  • Competitive salary and benefits package
  • The U.S. base salary range reasonably expected to be paid for this position is $84,960 to $135,000 per year. Since actual compensation packages are based on a variety of factors unique to each candidate we may ultimately pay more or less than the posted base salary range. Total compensation for this role also includes bonus and/or other incentives.
  • 16, or more, weeks of maternity/paternity and co-parenting leave, according to local regulations
  • Training platform for all employees
  • Free language courses (24 languages available)
  • Free well-being sessions (physical and psychological)

About us
  • Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
  • At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.

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