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$ cat jobs/nlp-ai-engineer-bright-vision-technologies-d7f3076fb572.json

NLP AI Engineer

bright vision technologies·US·United States·mid
pythonpytorchmlllmnlp
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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. E

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