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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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Deep knowledge of Artificial Intelligence (AI), Large Language Models (LLMs), Generative AI (Gen AI), Machine Learning (ML), and Applied Statistics. As an AI/ML Solution Architect, you will collaborate with cross-functional teams, design and lead end-to-end AI and machine learning solutions that leverage cloud data architectures.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Omni-Channel, Chatbot, and/or Conversational IVR experience.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US.
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Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to OFAC sanctions and AML models, including name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc.
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Gluon open-source deep learning library ( might consider some alternatives like Apache MXNet, or experience with PyTorch - TensorFlow - CNTK - Theano - Keras - Caffe2 ) The hiring manager is NOT looking for a Data Scientist.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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We are looking for an experienced and passionate MLOps Lead Engineer to join our team and lead the deployment and management of our machine learning solutions for a non-prime lender. Proficient in Python, and familiar with common machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn.
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Machine Learning Engineer. Other skills : Linux, OpenShift (Kubernetes container platform) and databases like Oracle, MS SQL Server, MongoDB. PNC Beeline VMS# 134285-1. ML Engineer will join Data Science Innovation (DSI) team and work on developing and implementing universal forecasting models, focusing on ML forecasting techniques using Python and Hadoop.
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Harnessing the power of cutting-edge cloud technologies, AI, machine learning, and modern data processing tools, you'll collaborate closely with project managers, engineers, and analysts to elevate our data ecosystem to new heights.
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While here you will get to work with and get trained on end-to-end Workday suite, Adaptive Insights, and machine learning-based demand planning models. TCC supports a growth and learning environment.
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Knowledge of natural language processing (NLP) and machine learning. Architect and implement chatbot solutions using platforms such as Kore.ai, IBM Watson, Google Dialogue flow, Amazon Lex, or Microsoft Azure bot.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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machine learning jobs Title: scientist Company: Boeing in Dallas, TX
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