STEM OPT BI Analyst Jobs
BI Analyst roles in data warehousing, dashboard development, and SQL-based reporting qualify for STEM OPT when your degree is in computer science, information systems, statistics, or a related CIP-coded field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build your analytics career in the U.S.
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Get Access To All JobsJob Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
Job Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
See all 474+ STEM OPT BI Analyst Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a BI Analyst
Verify your CIP code before applying
Pull your degree's CIP code from your DSO and cross-reference it against USCIS's STEM Designated Degree Program List. BI Analyst roles typically require computer science, information systems, or statistics degrees, so confirm your field maps correctly before targeting roles.
Confirm E-Verify enrollment during screening
Ask recruiters whether the company is enrolled in E-Verify before your first interview. Employers must be E-Verify participants to hire STEM OPT students, and many smaller analytics teams or consulting firms aren't enrolled, which disqualifies them entirely.
Target companies with active LCA filings
Use Migrate Mate to filter BI Analyst roles by employers with DOL Labor Condition Application filing history. This signals that the company already understands work authorization requirements and has an established process for sponsoring employees.
Structure your I-983 training plan around specific BI tools
Your I-983 must document how the training advances your STEM education goals. List specific tools you'll use, such as Tableau, Power BI, or dbt, and connect each to a concrete learning outcome tied to your degree discipline to satisfy ICE's practical training standards.
Flag data engineering overlap in job descriptions
BI Analyst postings that blend ETL pipeline work or Python scripting often sit under SOC codes tied to software developers or data engineers. Check which SOC code the employer plans to use in the LCA, since it affects prevailing wage tier and OFLC Wage Search lookups.
Prepare for the 90-day filing window proactively
USCIS requires your STEM OPT extension application to be filed with your DSO's I-20 endorsement at least 90 days before your initial OPT expires. Coordinate with your employer's HR team early so the I-983 is signed and submitted before that window closes.
Frequently Asked Questions
Does a BI Analyst role qualify for the STEM OPT extension?
A BI Analyst role qualifies if the position requires applying STEM knowledge and your degree is in a STEM-designated field such as computer science, information systems, statistics, or mathematics. The employer confirms the connection in your I-983 training plan. If the role is primarily business-facing with minimal technical application, your DSO may question whether it satisfies ICE's practical training standard.
What happens if my employer isn't enrolled in E-Verify?
You cannot work for that employer on a STEM OPT extension if they aren't enrolled in E-Verify. Enrollment is a legal requirement, not a preference. If you've already accepted an offer, your employer must complete E-Verify enrollment before your STEM OPT extension is approved. Ask HR to confirm enrollment status and provide the E-Verify company ID before you file your extension application.
Which STEM degrees support a STEM OPT extension for BI Analyst jobs?
Degrees in computer science, information systems, data science, statistics, applied mathematics, and industrial engineering are commonly used to support STEM OPT extensions for BI Analyst roles. Your degree's CIP code must appear on USCIS's STEM Designated Degree Program List. Check with your DSO to confirm your specific program qualifies before applying to positions.
How do I find BI Analyst employers that hire STEM OPT students?
Migrate Mate lets you filter BI Analyst roles by employers with verified E-Verify enrollment and DOL filing history, so you can focus on companies that already have a process for STEM OPT students. This is more reliable than asking employers cold whether they sponsor, since many HR teams conflate OPT sponsorship with H-1B visa sponsorship and give inaccurate answers.
Does STEM OPT cap-gap protection apply if my H-1B is selected in the lottery?
Cap-gap extends your OPT and work authorization automatically through September 30 of the fiscal year your H-1B petition is pending, as long as your employer files the H-1B petition before your OPT expires. For BI Analyst roles, your employer typically files using SOC codes for data analysts or business intelligence analysts, and the cap-gap period requires no separate filing on your part.