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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question-answering system, and an ontology/taxonomy, all supported by reference data about companies, industries, and our analysts.
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Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques.
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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
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Participate in the entire life cycle of ML/NLP projects from inception to deployment including and up to necessary support and post deployment validations full implement best practices in data science and machine learning.
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Together, Appen and Figure Eight Federal, combine the best of human and machine intelligence to provide high-quality annotated training data that powers the world's most innovative machine learning (ML) mission solutions.
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The Figure Eight platform transforms audio, video, text, and images into high-quality annotated data to support a variety of use cases ranging from computer vision and search relevance to data categorization and natural language processing (NLP.
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By innovating and implementing state-of-the-art machine learning, data science, and large language model solutions, you'll help shape the future of sustainable fashion retail. Excellent communication, technical leadership, and project management skills as you will be the data science team expert in the search, AI, NLP, and LLM space.
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This position plays a large role in developing training data for Artificial Intelligence and Machine Learning capabilities. Nothing moves in AI and machine learning (ML) without training data, and only high-quality training data can produce accurate and robust AI/ML powered solutions.
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2+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model.
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Our clients trust us to use natural language processing (NLP) and machine learning (ML) to deliver experiences like Search, Chat, Local Listings, and pages. Communicate data science and machine learning concepts to a variety of audiences (product managers, software engineers, executives, sales partners.
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