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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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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Hands-on Technical Responsibilities Execute a wide variety of data science projects including predictive modeling, profiling, journey analysis, experimental test design and analysis, and customer segmentation.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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Experience in Development and/or validating probabilistic models, Bayesian models, Decision Trees, Random Forest, Ensemble Models, Neural Networks, PCA/Preventive Crime Research, Logistic / Linear Regression, Linear / Non-Linear Optimization, Support Vector Machines, Natural Language Processing, Large language models, Graphic deep learning, audio programming.
$100,000 - $142,250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Current PhD Student in Quantitative Discipline related to Data Science, including but not limited to Statistics, Mathematics, Economics, Computer Science, etc. Proficiency in a coding language used for statistics and data science programming such as Python or R.
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Experience in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision. BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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BS/MS/PhD in a quantitative discipline (econometrics, statistics, mathematics, physics, computer science etc.) Strong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithms.
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The Communications Surveillance Vice President role will report to the Lead of Transformation, Audit and Reporting within the Compliance Communications Surveillance function and will be instrumental in developing, deploying, and maintaining Natural Language Processing (NLP) and other model-based capabilities for the Communications Surveillance Program.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. 8+ years of backend software development experience in building and maintaining applications in any mainstream language such as: Java, JavaScript, Python, Kotlin, Ruby, Go, Swift, C.
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machine learning natural language processing predictive modeling computer science jobs in Newark, NJ
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