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Fall Machine Learning Co Op Jobs in Mississippi (NOW HIRING)

Data Engineer Co-Op

Meridian, MS · On-site

$21 - $25/hr

Design, develop, and deploy machine learning models to support predictive analytics, classification ... Data Engineer Co-op Required Skills & Qualifications * Second-semester freshman standing or higher ...

INSIDE MACHINIST HA

Pascagoula, MS

$21.75 - $29.75/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ... co .com and let us know the nature of your request and your contact information. Reasonable ...

INSIDE MACHINIST HA

Pascagoula, MS

$21.75 - $29.75/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ... co .com and let us know the nature of your request and your contact information. Reasonable ...

INSIDE MACHINIST HA

Pascagoula, MS · On-site

$21.75 - $29.75/hr

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ... co .com and let us know the nature of your request and your contact information. Reasonable ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ... co .com and let us know the nature of your request and your contact information. Reasonable ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ... co .com and let us know the nature of your request and your contact information. Reasonable ...

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Fall Machine Learning Co Op information

See Mississippi salary details

$24.1K

$40.3K

$83.3K

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

As of Jun 30, 2026, the average yearly pay for fall machine learning co op in Mississippi is $40,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,600.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
What are popular job titles related to Fall Machine Learning Co Op jobs in Mississippi? For Fall Machine Learning Co Op jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Mississippi look for? The top searched job categories for Fall Machine Learning Co Op jobs in Mississippi are:
What cities in Mississippi are hiring for Fall Machine Learning Co Op jobs? Cities in Mississippi with the most Fall Machine Learning Co Op job openings:
Data Engineer Co-Op

$21 - $25/hr

Part-time

Posted 13 days ago


Atlas Roofing Corporation rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Title: Data Engineer Co-op
Location: Meridian, MS
Duration: One term Co-op starting in July 2026
Department: Engineering / Operations
Reports To: Nicki Vaughn, Plant Manager
We are seeking a skilled Data Engineer Intern for our Meridian, MS, Web Technologies plant with strong experience in machine learning frameworks, industrial automation, and database technologies. This role will focus on designing, building, and maintaining data pipelines, machine learning solutions, and automation scripts that support analytics, operational efficiency, and system integration-particularly within industrial or manufacturing environments.
Data Engineer Co-op Key Responsibilities
  • Design, develop, and deploy machine learning models to support predictive analytics, classification, and regression use cases.
  • Build and maintain data pipelines that integrate machine learning outputs into operational systems.
  • Develop and maintain Ignition (Inductive Automation) scripts to automate workflows, trigger actions, and integrate data across systems.
  • Work with Ignition modules such as Vision, Perspective, and SQL Bridge to support SCADA and industrial automation solutions.
  • Write, optimize, and maintain complex SQL queries, stored procedures, views, and triggers in MS SQL and Oracle databases.
  • Collaborate with cross-functional teams (engineering, operations, IT) to integrate data and automation solutions into existing infrastructure.
  • Ensure data quality, performance, and reliability across databases and analytics platforms.

Data Engineer Co-op Required Skills & Qualifications
  • Second-semester freshman standing or higher
  • 2 GPA or higher

Machine Learning & Analytics
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Strong understanding of model training, evaluation, and optimization techniques (e.g., cross-validation, hyperparameter tuning).
  • Ability to deploy machine learning models into production environments.

Automation & Ignition
  • Hands-on experience with Ignition (Inductive Automation), including scripting and automation.
  • Proficiency in Ignition scripting using Python (Jython).
  • Experience in integrating Ignition with databases and external systems.

Programming & Databases
  • Strong proficiency in Python for data processing, automation, and machine learning.
  • Experience using R for statistical analysis and data visualization.
  • Advanced SQL skills with MS SQL and Oracle SQL.
  • Solid understanding of relational database design, data modeling, and performance tuning.

Data Engineer Co-op Preferred Qualifications
  • Experience in industrial, manufacturing, or automation-focused environments.
  • Familiarity with SCADA systems and operational technology (OT) data.
  • Experience integrating analytics or machine learning solutions into real-time systems.

What We Offer
  • Opportunity to work on data-driven automation and machine learning solutions.
  • Collaborative, cross-functional work environment
  • Exposure to cutting-edge industrial analytics and automation technologies

Atlas Total Compensation
  • Hourly Wages
  • Second Semester Freshman: $18-19/hr.
  • Sophomore: $19-21/hr.
  • Jr: $20-23/hr.
  • Senior: $21-25/hr.
  • Housing Assistance Provided

Resume Submittal
  • Interested? To submit your resume, scan below.