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Machine Learning Co Op Jobs in Alabama (NOW HIRING)

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Machine Learning Co Op information

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 types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.
What are the most commonly searched types of Machine Learning jobs in Alabama? The most popular types of Machine Learning jobs in Alabama are:
What cities in Alabama are hiring for Machine Learning Co Op jobs? Cities in Alabama with the most Machine Learning Co Op job openings:
Intern - National Self Perform Operations Team (2026)

Intern - National Self Perform Operations Team (2026)

Turner Construction

Huntsville, AL

$15 - $19.75/hr

Other

Re-posted 3 days ago


Turner Construction rating

7.4

Company rating: 7.4 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

34th of 79 rated construction


Job description

This req represents internship opportunities throughout 2026 in a variety of regions and positions within Turner's National Self Perform Operations team, spanning positions within engineering, superintending, surveying, quality control, and cost.

Position Description:Assist in day-to-day supervised activities related to the development of a construction project to build foundational knowledge in construction management, business and project financial management, project safety protocols, subcontractor relationships, quality control, and project coordination and lifecycle. Where applicable, your assignment will support learning that applies to earning educational credits.

Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op will be supervised and assigned to work at an active construction project site, in a department located at a main office working in one of our many construction specialties.

  • Support project team with meeting coordination, material tracking, file management, document control, and progress reporting.
  • Comprehend and follow project site signage and supervisor instructions as directed.
  • Provide progress reports to supervisor and be receptive to learning about construction management.
  • Relate and apply knowledge acquired in the academic setting to work activities.
  • Maintain professional relationships with employees, customers, clients, and subcontractors.
  • Participate in training, meetings, and orientation.
  • Comply with safety protocols, follow safety expectations, and wear appropriate PPE (Personal Protection Equipment).
  • Other activities, duties, and responsibilities as assigned.Based on the assignment, the following activities may be performed (longer-term assignments may gain more in-depth experience and exposure):
    • Assist with project start-up activities and provide support to Project Engineer, Project Superintendent, and/or Project Manager.
    • Assist with collection and review of information and approvals for processing shop drawings, submittals, and Requests for Information (RFIs).
    • Assist with preparation and distribution of information for contract requirements to appropriate parties.
    • Assist with preparation of estimates for changes in work from subcontractors.
    • Attend project site visits to observe and document construction field activities.
    • Assist with preparation of and conduct correspondence and communication as directed to Architects, Engineers, vendors, and subcontractors in connection with performing their assigned trades.
    • Assist with communication to Trades and subcontractors to understand and track job schedules.
    • Assist with monitoring contractor compliance with Turner's safety program, as directed.
    • Assist with preparation of quantity take-offs and studies for project items using either traditional or computer-aided programs, learning and discussing details necessary to complete project.
    • Request and distribute subcontractor proposals relative to their scope of work to assemble proposals for delivery system.
    • Assist with project close out preparations.

What Turner Construction employees say

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About Turner Construction

Sourced by ZipRecruiter

Turner Construction, headquartered in New York, NY, US, is a recognized leader in the construction industry. It was established in 1902 and has since curved its niche as one of the most reputable construction firms. Turner Construction provides a broad range of services like general contracting, construction management, design-build, and consulting. Devoted to environment-friendly building practices, it is considered a pioneer in green building and sustainability efforts. Their top-tier projects include Madison Square Garden, Yankee Stadium, and the United Nations Secretariat Building in New York City. The company's mission is to deliver an exceptional product by relentless commitment to their core principles – teamwork, integrity, commitment, and community.

Industry

Construction

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1902