| Senior LLM Engineer (NLP Specialist) Location:Dallas, TX at Dallas, Texas, USA |
| Email: [email protected] |
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Processing description: http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2205912&uid= From: Manohar Reddy, Procorp Systems Inc [email protected] Reply to: [email protected] Position: Senior LLM Engineer (NLP Specialist) Location: Dallas, TX Twice in a month client-side travel is required. Client will provide travel expenses. Duration: 3+ months We are seeking a Senior LLM Engineer with deep expertise in natural language processing and large language models (LLMs). This role targets critical NLP-related tasks, including OCR improvements, text extraction, and advanced plan annotation workflows. The ideal candidate will design, fine-tune, and deploy large-scale transformer models to meet project requirements for document parsing, plan text recognition, and document visual question answering. Key Responsibilities LLM Development & Optimization Fine-tune and deploy large language models (GPT, BERT, T5, etc.) and NLP-related tasks with vision language models (Florence-2, PaliGemma) for domain-specific tasks such as text classification, summarization, and entity extraction. Enhance OCR pipelines with advanced NLP techniques, ensuring accurate text recognition of plan annotations (e.g., pipe materials, dimensions). Annotation Workflow Integration Collaborate with annotation teams to develop effective labeling guidelines and consistent naming conventions for text-based data. Automate or streamline annotation tasks wherever possible (e.g., partial auto-labeling) to reduce manual effort and error rates. Experimentation & Evaluation Establish robust evaluation metrics (e.g., precision, recall, F1-score) for NLP components, including text extraction quality. Set up an iterative experimentation framework to track model versioning, data changes, and performance gains over time. Data Management & Accountability Coordinate with the Project Manager and AI Engineer to ensure new data (annotated or collected) is properly versioned and accessible. Implement best practices for dataset growth, including tracking who annotated or curated the data and how these changes affect model performance. Deployment & Scalability Integrate with existing infrastructure and pipelines, ensuring minimal disruption to ongoing model development. Optimize model sizes and queries to reduce latency between input and output (quantization, batch optimization, etc.) Required Qualifications Education & Experience Bachelors/Masters in Computer Science, Computational Linguistics, or equivalent experience. 4+ years of hands-on NLP experience, focusing on LLMs and text-centric ML solutions. Technical Expertise Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow). Proven track record of deploying NLP or LLM systems in production (Cloud or on-prem). Solid understanding of tokenization, embedding techniques, and advanced fine-tuning strategies. Experience in leveraging open, closed, or custom annotation tools to coordinate between multiple annotation formats and annotation teams Preferred Familiarity with OCR libraries (Tesseract, OpenCV) and specialized computer vision workflows. Experience with annotation platforms (Roboflow, Labelbox, etc.) for text/document labeling Experience with containerizing LLM workflows (Docker, Kubernetes) for consistent, scalable deployment. Thanks & Regards Manohar Reddy Senior Technical Recruiter Procorp Systems Inc 2222 W Spring Creek Pkwy, STE 202, Plano, Texas 75023 E-mail: [email protected] LinkedIn: https://www.linkedin.com/in/manohar-reddy-nandammagari-07543b119/ Keywords: artificial intelligence machine learning Texas Senior LLM Engineer (NLP Specialist) Location:Dallas, TX [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2205912&uid= |
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| 01:17 AM 26-Feb-25 |