Machine Learning Engineer Job in USA 2026 with H-1B Visa Sponsorship
Bright Vision Technologies is seeking an experienced Machine Learning Engineer for a full-time W2 position based in Dallas, Texas, with remote flexibility available. This opportunity is open to international professionals requiring H-1B visa sponsorship, including candidates currently on OPT, CPT, H4 EAD, TN, E3, or other valid non-immigrant statuses targeting the 2027 H-1B quota.
This role is designed for technically strong professionals who are passionate about building production-grade machine learning systems and scaling intelligent solutions within enterprise environments.
About Role
As a Machine Learning Engineer, you will design, develop, and deploy scalable machine learning models that drive automation and optimization across business processes. You will work across the full ML lifecycle, including feature engineering, model training, validation, deployment, and performance monitoring in cloud-based production environments.
This is a hands-on engineering role requiring deep technical capability in Python-based ML frameworks, data pipelines, and containerized deployment environments. A coding assessment is mandatory as part of the selection process.
About Hiring Firm
Bright Vision Technologies is a U.S.-based software development company focused on delivering intelligent, cloud-enabled solutions for modern enterprises. The organization operates with a strong engineering culture centered on Agile methodologies, automation, and scalable architecture.
All roles are direct W2 employment, and the company does not engage in third-party brokerage or contract-to-contract arrangements. Bright Vision Technologies maintains a firm commitment to equal employment opportunity and inclusive hiring practices.
Responsibilities
- Design, train, and evaluate machine learning models using Python frameworks
- Perform feature engineering and data preprocessing for structured and unstructured datasets
- Deploy machine learning models into production environments
- Build and maintain scalable data pipelines
- Develop RESTful APIs for model integration
- Work with SQL and NoSQL databases for data management
- Utilize cloud platforms such as AWS, Azure, or GCP for model deployment
- Containerize applications using Docker and orchestrate with Kubernetes
- Implement CI/CD pipelines for automated model deployment
- Collaborate within Agile teams to deliver production-grade ML solutions
Requirements
- Eligibility for H-1B visa sponsorship
- 3–5 years of hands-on machine learning engineering experience
- Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn
- Experience with model deployment and production environments
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience with Docker, Kubernetes, and CI/CD tools
- Solid understanding of SQL and NoSQL databases
- Strong Linux and Git proficiency
- Ability to complete a coding assessment
- Excellent analytical and problem-solving skills
Click Here to Apply
Conclusion
This Machine Learning Engineer position offers international tech professionals a structured pathway toward H-1B sponsorship while working on advanced AI-driven systems in a U.S.-based organization. With direct W2 employment, exposure to enterprise-grade ML architecture, and long-term career growth potential, this opportunity is well-suited for global candidates seeking to establish and expand their career in the United States technology sector.
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