| AI ML Engineer at Charlotte, North Carolina, USA |
| Email: [email protected] |
| From: Rahul Singh, Tek Inspirations LLC [email protected] Reply to: [email protected] Role: AI/ML Engineer Location: Charlotte, NC Need local or nearby state candidates only 3 Days onsite Hybrid LinkedIn id is must (Should not been created recently, at least 6 Years old in case of senior candidates) Job Description: As a LLM Engineer, Candidate will collaborate with stakeholders across the business to work on complex technical requirements. Candidate will be responsible for managing multiple engagements, prioritizing and resolving complex problems and escalating as necessary, in a fast-paced environment. Requirements: Programming Proficiency: Strong skills in Python, along with experience in ML libraries such as PyTorch and TensorFlow, are essential for developing and optimizing models. Experience with LLM Frameworks: Familiarity with frameworks like Hugging Face Transformers, which is crucial for leveraging various pre-trained models and fine-tuning them. Understanding of NLP: Deep knowledge of transformer architectures, tokenization processes, and embeddings is necessary for effective model training and implementation. NLP Task Proficiency: Proven experience in performing NLP tasks such as entity recognition, summarization, and text classification will be vital for extracting meaningful insights from the contractual documents. Responsibilities: Model Fine-tuning: Work with pre-trained large language models (LLMs) such as GPT and BERT, tailoring them to understand and process supply chain and contractual data. Algorithm Development: Create algorithms for parsing and extracting information from unstructured documents (e.g., purchase orders, SLAs, legal agreements). Summarize key details from these documents to enhance data usability. Model Optimization: Enhance model performance for speed and scalability, potentially using tools like ONNX (Open Neural Network Exchange) and TensorRT (NVIDIA's high-performance deep learning inference optimization toolkit). Cross-functional Collaboration: Collaborate with supply chain experts and other teams to ensure that the developed solutions align with business objectives and practical needs. Keywords: artificial intelligence machine learning Idaho North Carolina AI ML Engineer [email protected] |
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| Fri Jan 03 23:15:00 UTC 2025 |