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Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML). As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology.
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Validate natural language processing techniques and assist with its incorporation in the EHR. The Senior Data Analyst performs data extraction, management, integration and cleaning, data analysis and visualization, algorithm validation, and the development of novel techniques for detecting, investigating, and addressing clinical decision support issues in the EHR around core CDS functionality, BPA’s, HM topics and other data driven tools.
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Your comprehensive expertise in machine learning, natural language processing, and deep learning, and how various Foundation Models embody and excel at these technologies will be essential in driving the success of our AI initiatives in terms of roadmap definition, architecture decisions and superb execution, delivering products that meet the needs of our customers.
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Strong grasp of AI principles, including machine learning, deep learning, natural language processing, and computer vision, along with their applications. Mathematical foundations for AI, such as linear algebra, calculus, and statistics, plus algorithms specific to machine learning and data processing.
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Experience and deep understanding of a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Deep Learning experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems Excellent software design skills, including debugging, performance analysis, and test design.
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Examples include identifying property features from Aerial Imagery using computer vision, classifying businesses from documents using natural language processing, and optimizing the performance of our digital insurance offerings.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Fluency in the languages of data manipulation (e.g., SQL) and statistical analysis (e.g., R or Python/NumPy), with ability to code (e.g., PHP) a plus, Java, Ruby, Clojure, Matlab, Pig or SQL.
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Business Analytics and Data Sciences (Analytics, Artificial Intelligence (AI)/Machine Learning (ML), Quantum Computing, Natural Language Processing (NLP), Mobile Development, Visualization, Technical MIS courses.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Expert Understanding of technologies used in the IVR and telephony: Dialogue Design tools, Chat bot, Text to Speech, Speech Recognition, Toll Free Number Engineering, Automatic Call Distribution, Natural Language Processing.
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Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
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2+ years of experience in Natural Language Processing (NLP). Proficient in Python and experienced with machine learning and NLP processing. Experience with Large Language Models (LLM) would be a plus.
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