Machine Learning Engineer

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AI Summary

Join Bright Vision Technologies as a Machine Learning Engineer to contribute to building innovative solutions using cutting-edge machine learning technologies. This role involves leveraging machine learning skills to build scalable, reliable, and production-grade intelligent systems. As a Machine Learning Engineer, you will work on transforming business processes through technology.

Key Highlights
Contribute to building innovative solutions using machine learning technologies
Build scalable, reliable, and production-grade intelligent systems
Transform business processes through technology
Key Responsibilities
Build scalable, reliable, and production-grade intelligent systems
Contribute to building innovative solutions using machine learning technologies
Transform business processes through technology
Technical Skills Required
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
Benefits & Perks
H1B sponsorship
Equal employment opportunities
Inclusive work environment
Remote work

Job Description


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

Job Location: Bridgewater, New Jersey - 08807

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

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

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 real time experience.

If you are a Machine Learning Engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resume immediately to Venkat.r@bvteck.com.

we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.

Position offered by “No Fee agency.”

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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