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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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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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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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Understanding of fundamental NLP and machine learning algorithms – classification, summarization, semantic parsing, question answering. Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, LLM, ranking systems, recommendation systems. - Encompass the development and fine-tuning of NLP strategies like query understanding, semantic mining, LLM algorithms, knowledge graph, and multi-model text/photo/video comprehension, etc.
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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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DoorDash Careers | Staff Engineer, Machine Learning Science - AI for Voice Ordering Search Jobs About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery.
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Strong expertise and knowledge in deep learning, NLP, ML-ops, and distributed systems. 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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We are looking for a candidate with experience as a data scientist for machine learning and natural language processing problems. Solid knowledge of a diverse set of machine learning techniques and their real-world practical applicability.
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We use the best machine learning techniques to simplify product discovery for animal lovers looking for their pet needs on Chewy.com. Our outstanding multi-disciplinary team of data scientists, data engineers, software/front-end engineers, and product managers work together to power personalized recommendations and search for pet parents.
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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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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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Collaborate with cross-functional teams to understand business requirements and develop scalable, efficient machine learning solutions that improve content onboarding, search, recommendations, and voice interactions.
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Experience with Elasticsearch, Machine Learning and NLP. The Search & Discovery team helps people browse, search for and discover events that they want to attend through search UI, ranking and relevance enhancements.
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Industry experience in designing and productionizing end-to-end machine learning models (e.g., search ranking, recommendation, personalization, NLP) We are hiring our first Senior/Staff Machine Learning Engineer onto our AI team to further accelerate our new AI product development as well as improve our AI model accuracy.
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