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Senior NLP AI Engineer

Bright Vision Technologies • United State
Remote
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AI Summary

Bright Vision Technologies is seeking an experienced NLP AI Engineer to design, fine-tune, and deploy Large Language Models (LLMs) for production. The role involves building scalable AI solutions, managing distributed training pipelines, and implementing model safety and evaluation frameworks. Candidates must have 6+ years of ML engineering experience with LLMs and expertise in PyTorch, RLHF/DPO, and distributed training.

Key Highlights
Design, fine-tune, and deploy Large Language Models (LLMs)
6+ years of ML engineering experience with LLMs required
Expertise in PyTorch, RLHF/DPO, and distributed training
Key Responsibilities
Fine-tune LLMs using Supervised Fine-Tuning (SFT), DPO, RLHF, LoRA, and QLoRA
Build and optimize distributed training pipelines using modern ML frameworks
Develop high-quality datasets and evaluation frameworks for LLM performance
Manage large-scale GPU training, model optimization, and experiment tracking
Implement model safety, benchmarking, and performance improvements
Collaborate with cross-functional teams and mentor junior engineers
Technical Skills Required
Python PyTorch LLM fine-tuning Distributed training
Benefits & Perks
Full-time employment
U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates eligible
Salary range: $100,000–$150,000 annually
Nice to Have
Publications in top-tier ML conferences
Experience with multimodal AI models
Knowledge of synthetic data generation and responsible AI
Open-source contributions to LLM training frameworks

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

Job Title: NLP AI Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$150,000 Annually

Experience Required: 6+ years

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

Job Summary

Bright Vision Technologies is seeking an experienced NLP AI Engineer to design, fine-tune, and deploy Large Language Models (LLMs). The ideal candidate will have expertise in LLM fine-tuning, PyTorch, distributed training, RLHF/DPO, and model evaluation, with experience building scalable AI solutions for production.

Key Responsibilities

  • Fine-tune LLMs using Supervised Fine-Tuning (SFT), DPO, RLHF, LoRA, and QLoRA
  • Build and optimize distributed training pipelines using modern ML frameworks
  • Develop high-quality datasets and evaluation frameworks for LLM performance
  • Manage large-scale GPU training, model optimization, and experiment tracking
  • Implement model safety, benchmarking, and performance improvements
  • Collaborate with cross-functional teams and mentor junior engineers

Required Qualifications

  • Master's or PhD in Computer Science, Machine Learning, or a related field (or equivalent experience)
  • 6+ years of ML engineering or AI research experience with LLMs
  • Strong Python and PyTorch development skills
  • Experience fine-tuning transformer-based language models
  • Knowledge of distributed training (FSDP, ZeRO, pipeline parallelism)
  • Experience with RLHF, DPO, or similar preference optimization techniques
  • Strong communication and problem-solving skills

Preferred Qualifications

  • Publications in top-tier ML conferences
  • Experience with multimodal AI models
  • Knowledge of synthetic data generation and responsible AI
  • Open-source contributions to LLM training frameworks

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.

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.

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