NLP AI Engineer

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., * 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.

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., * 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., * 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.

4.24.2 out of 5 stars Remote $100,000 - $150,000 a year - Full-time

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.