NLP Engineer

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AI Summary

Join Bright Vision Technologies as an NLP Engineer to contribute to building innovative language intelligence systems. As a key member of our team, you will be responsible for developing and training NLP models. This is a full-time role with a competitive salary and benefits package.

Key Highlights
Develop and train NLP models
Contribute to building innovative language intelligence systems
Work with a dynamic team to drive business growth
Key Responsibilities
Develop and train NLP models
Contribute to building innovative language intelligence systems
Work with a dynamic team to drive business growth
Technical Skills Required
Natural Language Processing (NLP) Python NLTK spaCy Transformers Hugging Face BERT/GPT-based models Text Classification Named Entity Recognition Sentiment Analysis Information Extraction Model Training & Fine-Tuning RESTful APIs Cloud Platforms (AWS / Azure / GCP) Docker Kubernetes Linux CI/CD pipelines Git Agile methodologies
Benefits & Perks
Competitive salary
Benefits package
H1B sponsorship available

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 natural language processing technologies to build scalable, accurate, and production-grade language intelligence systems. As we continue to grow, we’re looking for a skilled NLP 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: NLP Engineer

Job Location: Bridgewater, New Jersey - 08807

Onsite/Hybrid: Remote

FULL-TIME ROLE WITH BRIGHT VISION

Job Description:

Environment:

Natural Language Processing (NLP), Python, NLTK, spaCy, Transformers, Hugging Face, BERT/GPT-based models, Text Classification, Named Entity Recognition, Sentiment Analysis, Information Extraction, Model Training & Fine-Tuning, RESTful APIs, 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 an NLP 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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