Machine Learning Engineer

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.

We leverage cutting-edge machine learning technologies to build scalable, reliable, and production-grade intelligent systems. As we continue to grow, we’re looking for a skilled Machine Learning Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota.

Company: Bright Vision Technologies ( www.bvteck.com )

Job Title: Machine Learning Engineer

Onsite/Hybrid: Remote

FULL-TIME ROLE WITH BRIGHT VISION

Job Description:

Environment:

Machine Learning, Python, TensorFlow, PyTorch, Scikit-learn, Feature Engineering, Model Training & Evaluation, Model Deployment, RESTful APIs, Data Pipelines, SQL, NoSQL Databases, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, CI/CD pipelines, Git, Agile methodologies

Again, we work only with direct clients. If you are already on H-1 B and are open to an H-1 B transfer, feel free to apply.

BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.

Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.

For every role, a coding test is required, so apply only if you are confident and technically strong.

We prefer at least 3 to 5 years of real-time experience.

Thanks& Regards

Best Regards,

Sridhar Pagolu

Senior Manager

Bright Vision Technologies

Phone: 908-938-4442

Address: #991 Route 22 West, Suite 200,

Bridgewater, New Jersey - 08807

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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