Natural Language Processing Engineer

Bright Vision Technologies; United States; Remote; USD 115,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking a Natural Language Processing Engineer to develop language-processing solutions for extracting, classifying, searching, and interpreting text. The role will prepare text datasets, build and evaluate NLP models, develop production inference services, and collaborate with application and data teams to integrate language intelligence into enterprise workflows.

This role requires 5+ years of NLP experience, Python expertise, and practical familiarity with spaCy,

Qualifications

• 5+ years in NLP, ML, or applied language technology aligned with requisition.
• Strong Python skills and practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers.
• Understanding of tokenization, embeddings, language representations, text classification, and information extraction.
• Experience preparing text datasets and evaluating models using precision, recall, F1, or ranking metrics.
• Knowledge of machine learning fundamentals and at least one deep-learning framework such as PyTorch or TensorFlow.
• Experience building APIs, batch workflows, or other production integrations for model inference.
• Strong analytical, experimentation, documentation, and cross-functional communication skills.
• Experience working in iterative software delivery teams.

Responsibilities

• Develop NLP pipelines for text classification, entity extraction, semantic search, summarization, or language understanding.
• Prepare and label text datasets, normalize content, and implement preprocessing and feature strategies.
• Train, fine-tune, or adapt language models and evaluate results using task-appropriate metrics.
• Build inference APIs or batch processing components and integrate them with enterprise applications.
• Monitor model quality, analyze errors, and document performance, limitations, and improvement opportunities.

Skills

Python

NLP libraries

Tokenization & embeddings

Model evaluation metrics

API development

Communication skills

Experimentation & docs

Tools

spaCy

NLTK

Transformers

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.

Job Title: Natural Language Processing Engineer

Location: Remote

Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]

Salary Range: $115,000–$165,000 Annually

Experience Required: 5+ years

Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.

Job Summary

Bright Vision Technologies is seeking a Natural Language Processing Engineer to develop language-processing solutions for extracting, classifying, searching, and interpreting text. The role will prepare text datasets, build and evaluate NLP models, develop production inference services, and collaborate with application and data teams to integrate language intelligence into enterprise workflows.

Key Responsibilities

• Develop NLP pipelines for text classification, entity extraction, semantic search, summarization, or language understanding.
• Prepare and label text datasets, normalize content, and implement appropriate preprocessing and feature strategies.
• Train, fine-tune, or adapt language models and evaluate results using task-appropriate metrics.
• Build inference APIs or batch processing components and integrate them with enterprise applications.
• Monitor model quality, analyze errors, and document performance, limitations, and improvement opportunities.

Required Qualifications

• Experience Required: typically 5+ years in NLP, machine learning, or applied language technology; align with the approved requisition.
• Strong Python skills and practical experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers.
• Understanding of tokenization, embeddings, language representations, text classification, and information extraction.
• Experience preparing text datasets and evaluating models using suitable precision, recall, F1, or ranking metrics.
• Knowledge of machine learning fundamentals and at least one deep-learning framework such as PyTorch or TensorFlow.
• Experience building APIs, batch workflows, or other production integrations for model inference.
• Strong analytical, experimentation, documentation, and cross-functional communication skills.
• Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.

Preferred Qualifications

• Experience with transformer architectures, fine-tuning, semantic search, or multilingual NLP.
• Exposure to vector databases, retrieval-augmented generation, or large language model evaluation.
• Familiarity with cloud ML services, distributed processing, and model monitoring.
• Relevant NLP, machine learning, or cloud certification.

Bright Vision Technologies is an Equal Opportunity Employer.

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.