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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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10+ years of experience in natural language processing, machine learning, or a related field. You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.
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Minimum Qualifications Key Qualifications Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Deep familiarity with vector databases and data processing techniques for LLMs, including model chunking.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Posted figures are subject to change as new market data becomes available.
$230,369 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The Product: The AWS Machine Learning accelerators represent a pinnacle of AWS technologies, specifically designed for advancing AI capabilities. You: As a Machine Learning Compiler Engineer II on the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
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3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer vision. Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.
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Speech Pathologist Assistant (SLPA) Location: Newcastle, WA We are seeking a skilled and enthusiastic Speech-Language Pathology Assistant (SLPA)near Newcastle, WA to join our team. As an SLPA, you will work under the supervision of a licensed Speech-Language Pathologist to provide speech and language therapy services to individuals of all ages.
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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
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3+ years programming experience in a general-purpose programming language (like Python or C. In this role, you will focus primarily on the layout of masks for micro and nanofabrication of photonic integrated circuits (PICs) and chip-scale ion trap circuits for use in trapped-ion quantum computer systems.
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Speech Language Pathology Assistants SLPA ST. Speech Language Pathologist SLP. Board Certified Behavior Analyst BCBA. Certified Occupational Therapy Assistant COTA. Licensed Vocational Nurse LVN.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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At Tecton , we solve the complex data problem in production machine learning. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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machine learning natural language processing jobs Title: data analyst Company: Delphi Technologies in Seattle, WA
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