OPT AI ML Engineer Jobs
AI ML Engineer jobs are among the most OPT-friendly roles in tech, large employers routinely sponsor H-1B visa and have dedicated international hiring pipelines. Your 12-month OPT window (or 24-month STEM extension if your degree qualifies) gives you meaningful runway to land and transition.
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Get Access To All JobsINTRODUCTION
About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We’re hiring AI & ML Engineer in Las Vegas, NV.
ROLE AND RESPONSIBILITIES
What You'll Work On
- Build AI applications using LLMs, RAG, and AI Agents
- Develop Computer Vision solutions (YOLO or similar)
- Create backend APIs with Python and FastAPI/Flask
- Support ML pipelines, MLOps, and cloud-based AI solutions
- Build scalable applications on AWS using Docker and modern development practices
BASIC QUALIFICATIONS
Required Knowledge & Skills
- Strong proficiency in Python
- Understanding of Machine Learning and Deep Learning fundamentals
- Familiarity with LLMs, Generative AI, and RAG architectures
- Basic knowledge of Computer Vision (experience with YOLO or similar frameworks is a plus)
- Understanding of FastAPI/Flask and REST API development
- Foundational knowledge of AWS, Docker, Git, and Linux
- Exposure to JavaScript/TypeScript is beneficial
- Strong analytical, problem-solving, and communication skills
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
INTRODUCTION
About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We’re hiring AI & ML Engineer in Las Vegas, NV.
ROLE AND RESPONSIBILITIES
What You'll Work On
- Build AI applications using LLMs, RAG, and AI Agents
- Develop Computer Vision solutions (YOLO or similar)
- Create backend APIs with Python and FastAPI/Flask
- Support ML pipelines, MLOps, and cloud-based AI solutions
- Build scalable applications on AWS using Docker and modern development practices
BASIC QUALIFICATIONS
Required Knowledge & Skills
- Strong proficiency in Python
- Understanding of Machine Learning and Deep Learning fundamentals
- Familiarity with LLMs, Generative AI, and RAG architectures
- Basic knowledge of Computer Vision (experience with YOLO or similar frameworks is a plus)
- Understanding of FastAPI/Flask and REST API development
- Foundational knowledge of AWS, Docker, Git, and Linux
- Exposure to JavaScript/TypeScript is beneficial
- Strong analytical, problem-solving, and communication skills
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI ML Engineer
Target companies with STEM OPT track records
Search USCIS H-1B visa disclosure data for employers with high AI and ML approval volumes. Companies that sponsor frequently have established processes, reducing the friction of being an OPT candidate. Consistent sponsorship history is a stronger signal than company size alone.
Apply early in your OPT window
AI ML hiring cycles often run 8 to 12 weeks from application to offer. Starting your search at least three months before your current authorization expires gives employers enough runway to complete the process without feeling pressured by your timeline.
Confirm your degree qualifies for the STEM extension
Computer Science, Electrical Engineering, Statistics, and Data Science degrees typically qualify for the 24-month STEM OPT extension. Confirming eligibility early gives you a stronger negotiating position and makes you significantly more attractive to employers planning for H-1B sponsorship.
Lead with technical depth, not visa status
Hiring managers for AI and ML roles prioritize model experience, research output, and system design skills. Frame your application around specific projects, architectures, and measurable results first. Address your OPT status clearly but briefly in the cover letter or recruiter screen.
Build a portfolio with deployable work
Employers evaluating AI ML candidates want to see real systems, not just notebooks. Public GitHub repositories, published papers, Kaggle placements, or documented production deployments give international candidates a concrete edge that offsets any perceived sponsorship friction.
Get your I-983 training plan right from day one
STEM OPT requires a signed training plan outlining your learning objectives and how the role relates to your degree field. Confirm the employer is an E-Verify participant before accepting an offer, since that is a mandatory requirement for the STEM extension.
AI ML Engineer OPT: Frequently Asked Questions
Can I work as an AI ML Engineer on OPT without an H-1B?
Yes. Your F-1 OPT work authorization lets you work as an AI ML Engineer for any employer authorized to hire OPT students, with no H-1B required. If your degree is in a STEM-designated field such as Computer Science or Statistics, you can extend OPT for an additional 24 months, giving you up to three years of authorized work experience before needing a different visa status.
Does an AI ML Engineer role qualify for the STEM OPT extension?
In most cases, yes. The role must be directly related to your degree field, and your employer must be enrolled in E-Verify. Degrees in Computer Science, Data Science, Electrical Engineering, Mathematics, and Statistics are commonly approved for STEM OPT. The connection between your specific degree and the AI or ML work you perform needs to be documented in your I-983 training plan, which both you and your employer sign.
What types of employers hire AI ML Engineers on OPT?
Large technology firms, financial institutions, healthcare companies, and AI-focused startups are the most active employers. Companies that file H-1B petitions in volume are generally the most experienced with OPT students and have internal processes to support the transition. You can browse AI ML Engineer roles filtered for OPT-friendly employers directly on Migrate Mate, which focuses specifically on positions open to international candidates.
How far in advance should I apply for AI ML Engineer jobs before my OPT expires?
Start applying at least three to four months before your OPT authorization expires. Technical hiring for AI and ML roles is multi-stage, often involving recruiter screens, take-home assessments, and several rounds of technical interviews. If you qualify for the STEM extension, filing the extension application at least 90 days before your current OPT expires protects your authorization during the processing window, even if your EAD has not yet arrived.
Will employers reject me for AI ML roles because of my OPT status?
Some employers do not sponsor work visas, but many large and mid-size technology employers actively recruit international candidates for AI and ML roles because qualified talent is competitive. Being transparent about your timeline, confirming STEM OPT eligibility, and targeting companies with established sponsorship histories significantly improves your odds. Focusing your applications on employers already verified to hire OPT candidates saves time and avoids dead ends.