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 JobsINTRODUCTION
Data/AI Engineer in the Data & AI Team
Launch Your Career with Jade Global
Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters? At Jade Global, we’re looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is a plus, it’s not required — what matters most is your motivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.
You’ll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you’ll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3–5 years. This is not an internship — it’s a full-time opportunity with a competitive salary, full benefits, and generous performance-based compensation. You’ll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond. We’re seeking the next generation of leaders, problem-solvers, and innovators from top universities around the world — people who are passionate about technology, eager to take ownership, and committed to excellence.
Responsibilities
- Collecting and documenting business analytics requirements
- Analyzing complex data using AI tools and frameworks
- Exploring the use of LLMs, computer vision, and generative AI to address client business challenges
- Data collection, preparation, and analysis
- Model development and testing
- Authoring technical documentation
- Presenting solutions to key stakeholders
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field
- Strong Python programming skills
- Understanding of ML algorithms like linear regression, classification, clustering, etc.
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch
- Good understanding of data structures and algorithms
- Desire to learn
- Strong analytical thinking and problem-solving skills
- Independent person able to manage self and activities within a schedule
- Able to facilitate conversations and drive decisions
- Passionate
- Creative thinker
- Takes initiative and ownership
- Strong team player
- Strong communicator
- Interest in learning and growing both technically and as a person
- Exposure to NLP, Computer Vision, or Generative AI is a plus
- Experience with Jupyter Notebooks and Git is a plus
- Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus
WHAT YOU’LL GAIN
- Mentoring and learning from AI/ML professionals
- Collaborative and innovation-driven environment
- Strong understanding of business analytic needs
- Ability to translate customer requirements into visible results through leading edge technology
- Deep understanding of proven analytics and AI tools
- Career growth opportunities within the Data & AI team
INTRODUCTION
Data/AI Engineer in the Data & AI Team
Launch Your Career with Jade Global
Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters? At Jade Global, we’re looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is a plus, it’s not required — what matters most is your motivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.
You’ll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you’ll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3–5 years. This is not an internship — it’s a full-time opportunity with a competitive salary, full benefits, and generous performance-based compensation. You’ll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond. We’re seeking the next generation of leaders, problem-solvers, and innovators from top universities around the world — people who are passionate about technology, eager to take ownership, and committed to excellence.
Responsibilities
- Collecting and documenting business analytics requirements
- Analyzing complex data using AI tools and frameworks
- Exploring the use of LLMs, computer vision, and generative AI to address client business challenges
- Data collection, preparation, and analysis
- Model development and testing
- Authoring technical documentation
- Presenting solutions to key stakeholders
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field
- Strong Python programming skills
- Understanding of ML algorithms like linear regression, classification, clustering, etc.
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch
- Good understanding of data structures and algorithms
- Desire to learn
- Strong analytical thinking and problem-solving skills
- Independent person able to manage self and activities within a schedule
- Able to facilitate conversations and drive decisions
- Passionate
- Creative thinker
- Takes initiative and ownership
- Strong team player
- Strong communicator
- Interest in learning and growing both technically and as a person
- Exposure to NLP, Computer Vision, or Generative AI is a plus
- Experience with Jupyter Notebooks and Git is a plus
- Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus
WHAT YOU’LL GAIN
- Mentoring and learning from AI/ML professionals
- Collaborative and innovation-driven environment
- Strong understanding of business analytic needs
- Ability to translate customer requirements into visible results through leading edge technology
- Deep understanding of proven analytics and AI tools
- Career growth opportunities within the Data & AI team
See all 255+ CPT AI Data Engineer Jobs
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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.