NLP Engineer

Bright Vision TechnologiesMiami, FL
8hRemote

About The Position

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 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 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. 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.

Requirements

  • 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
  • 3 to 5 years of real-time experience
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