| ML Engineers or Data Scientist - Remote - Contract at Remote, Remote, USA |
| Email: [email protected] |
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Processing description: http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2259735&uid= From: Yuvaraj, fwdatatech.com [email protected] Reply to: [email protected] Hi All, Hope you are doing well, Please find the below requirement, let me your thoughts Role: ML Engineers or Data Scientist Location: Remote Rate : $55 / hr Note : We are looking Ex employee of T-Mobile is preferred JOB DESCRIPTION: We are seeking a highly skilled and motivated Natural Language Processing (NLP) Data Scientist with expertise in text classification, NLP pre-processing, prompt engineering, and Argentic AI. The ideal candidate will have a solid background in deep learning, large-scale NLP models, and the Hugging Face ecosystem, with hands-on experience fine-tuning BERT, GPT, and other transformer models. You will be responsible for building cutting-edge NLP solutions, integrating with Large Language Models (LLMs), and applying prompt engineering techniques to optimize LLM performance. Experience working with cloud providers such as Azure OpenAI, AWS, and P is a plus. Primary Duties & Responsibilities: Research, design, and implement NLP algorithms with a focus on fine-tuning LLMs (BERT, GPT, and variants) for various NLP tasks, including text classification, entity recognition, summarization, and information retrieval. Develop and optimize pre-processing pipelines for NLP tasks, including tokenization, stemming, lemmatization, and vectorization. Design and implement prompt engineering techniques to enhance LLM adaptability for different business applications. Build and deploy Argentic AI solutions that integrate LLMs with multi-step reasoning, workflow automation, and real-time decision-making. Develop custom fine-tuning strategies to improve model accuracy for domain-specific tasks. Collaborate with cross-functional teams to integrate fine-tuned NLP and AI agent solutions into products and services. Analyse and interpret experimental results, applying iterative model improvements based on real-world data. Stay updated with the latest advancements in NLP, generative AI, and agent-based architectures, incorporating emerging methodologies into the workflow. Work with distributed computing environments and cloud platforms such as Azure OpenAI, AWS, and P to deploy and scale NLP models. Guide and mentor peers on LLM fine-tuning best practices, AI-driven automation, and high-performance NLP architectures. Knowledge, Skills & Abilities: Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. 3-5 years of professional experience in NLP, AI, or Data Science roles. Strong understanding of text classification, information extraction, document understanding, and sequence labelling. Hands-on experience with Hugging Face Transformers, BERT, GPT, and other modern NLP models. Proficiency in Python, Tensor Flow, PyTorch, and relevant NLP libraries. Solid experience in NLP data pre-processing techniques, including tokenization, lemmatization, and vectorization. Expertise in prompt engineering techniques for improving LLM performance. Familiarity with Argentic AI concepts, enabling AI agents to make independent decisions in complex workflows. Strong knowledge of cloud computing platforms (Azure OpenAI, AWS, P) and containerized deployment (Dockers, Kubernetes). Experience with version control (Git), CI/CD, and software engineering best practices. Ability to analyze large-scale datasets, derive insights, and optimize NLP model performance. Excellent communication skills and ability to collaborate with cross-functional teams. Keywords: continuous integration continuous deployment artificial intelligence machine learning ML Engineers or Data Scientist - Remote - Contract [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2259735&uid= |
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| 08:04 PM 17-Mar-25 |