CPT AI Data Engineer Jobs
AI Data Engineer CPT jobs let F-1 students apply machine learning pipelines, data infrastructure, and model deployment skills directly to a degree program requirement. Your DSO must authorize CPT before your start date, and the role must tie to your enrolled coursework, a data science, computer science, or AI-focused program typically satisfies this.
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Get Access To All JobsArtificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Artificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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Get Access To All JobsAI Data Engineer CPT: Frequently Asked Questions
Does an AI Data Engineer role qualify for CPT authorization?
Yes, if the role connects directly to your enrolled program. Degrees in data science, computer science, artificial intelligence, or information systems typically satisfy the curricular integration requirement. The position description must demonstrate that duties like building ML pipelines or managing data infrastructure align with your current coursework, not just your field of study generally.
Can I do CPT at a startup that has no visa sponsorship history?
You can do CPT at any employer your DSO approves, including startups with no prior visa sponsorship. CPT itself doesn't require the employer to file anything with USCIS. The risk is forward-looking: if you plan to transition to OPT or H-1B visa with that employer later, their willingness and infrastructure to sponsor matters. Research their filing history before committing.
How do I find AI Data Engineer employers who have sponsored international students before?
Migrate Mate filters employers by DOL Labor Condition Application filing history, so you can see which companies have sponsored roles in data engineering and adjacent titles. This is more reliable than asking recruiters directly, since LCA records are public and reflect actual filing behavior rather than stated intent.
Does part-time CPT for an AI Data Engineer role count toward my 12-month full-time CPT limit?
Part-time CPT, defined as 20 hours per week or fewer, does not count toward the 12-month full-time CPT threshold that would eliminate your OPT eligibility. Full-time CPT, over 20 hours per week, counts against that limit. Many AI Data Engineer internships run full-time during summer and part-time during the academic year, so track your hours across both arrangements carefully with your DSO.
What happens if my AI Data Engineer CPT role shifts to a different team or project mid-authorization?
A material change in duties, employer location, or supervision structure typically requires a new CPT authorization and a revised I-20. If your role moves from a data infrastructure team to an ML research group with a different job description, notify your DSO before the change takes effect. Working outside the scope of your authorized CPT puts your F-1 status at risk.