| Urgent need for GEN AI ENGINEER with PYTHON || Remote || Visa Status: EAD, GC, US Citizen at Remote, Remote, USA |
| Email: [email protected] |
| Please share your valuable response at [email protected] Greetings, I came across your profile on our resume database and wanted to reach out regarding a Job opportunity. If interested please reply with your updated resume, contact details, and best time to discuss regarding the opportunity. Position : GEN AI ENGINEER Location : (Fully Remote) Duration : 6 months C2C Interview : Video Description: This is NOT a ChatBox project working on use cases. They need to have experience solving business problems using Use Cases. This is a ground floor opportunity for a new group of services GEN AI ENGINEER Summary: The client is seeking an experienced Generative AI Engineer to join our growing team and help us push the boundaries of what's possible with AI technology. In this role, you will develop and implement cutting-edge large language models (LLMs) into real-world applications. 4+ years of experience in software engineering with a strong focus on NLP and machine learning applications. o Proven expertise in building and deploying large language models (LLMs) using frameworks like TensorFlow, PyTorch, or other relevant tools. Skills: Proficiency in programming language: Python Scripting Experience with LLM frameworks; Experience with at least one of the following: TensorFlow, PyTorch, Hugging Face Transformers, etc. Strong understanding of machine learning algorithms. Experience with various machine learning algorithms and techniques is essential for effectively customizing and integrating LLMs. Experience with deep learning: Understanding of neural networks, backpropagation, etc. Excellent knowledge of NLP techniques: Specifically, mention experience with: o Natural Language Understanding (NLU) concepts like intent classification, entity recognition, and dialogue management. Printed Copies are Uncontrolled. o Proficiency in using large language models for tasks such as text generation, summarization, translation, or question answering. o Experience with specific LLM architectures relevant to the field, e.g., Transformers, BERT, BART, etc. Experience with data analysis: Strong understanding of how to analyze and interpret the output from LLM models is crucial Job Responsibilities: Design, develop, and deploy AI solutions: o Develop and implement innovative solutions leveraging large language models (LLMs). o Fine-tune existing LLMs on proprietary data to improve performance and tailor them to new applications. o Design and implement training pipelines for LLMs, optimizing for efficiency and accuracy. o Design, develop, and maintain high-quality text generation models: Implement and evaluate various LLM architectures (e.g., Transformers, BERT) for specific tasks. Train and fine-tune models on diverse data sets to achieve optimal performance. Optimize model parameters through iterative experimentation and fine-tuning techniques. o Design, develop, and deploy RAG models for generating high-quality text based on input prompts or user queries. o Implement and evaluate various RAG architectures for specific tasks and applications. o Evaluate the performance of RAG models using various metrics. Analyze and interpret model outputs to identify areas for improvement and optimize model performance. o Design, develop, and integrate AI-powered agents that can converse with users using the developed RAG models. o Implement natural language understanding (NLU) capabilities to enable agents to comprehend user input and respond accordingly. o Develop and fine-tune dialogue management systems for controlling agent conversations and ensuring coherence. Data Preparation and Fine-tuning: Printed Copies are Uncontrolled o Prepare and curate large text datasets for training and validation of language models o Implement LLM fine-tuning strategies using different optimization algorithms (e.g., Adam, SGD). o Develop and apply data augmentation techniques to improve model generalization. Model Evaluation and Optimization: o Develop and implement metrics for evaluating the performance of LLMs based on specific project goals (e.g., accuracy, fluency, coherence). o Analyze and interpret model outputs to identify areas for improvement. o Experience with various LLM architectures (e.g., BERT, Transformer). Strong understanding of natural language processing concepts. o Strong understanding of Advanced RAG techniques. o Experience with NLP libraries (e.g., spaCy, NLTK) and techniques for finetuning and integrating LLMs into different applications -- Keywords: artificial intelligence information technology Urgent need for GEN AI ENGINEER with PYTHON || Remote || Visa Status: EAD, GC, US Citizen [email protected] |
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| Tue Aug 13 21:12:00 UTC 2024 |