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Must have 3 yrs of exp w/: machine learning, math modeling, & stats; implementing productn machine learning systems at scale in Python; data modeling; TensorFlow/Keras & Scikit-Learn; SQL; Big Data platfrms such as BigQuery, Redshift, Hive/Hadoop, or Snowflake; & cloud platfoms such as GCP, AWS, or Azure.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc.
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We use Deep Learning (the most sophisticated machine learning) to build custom algorithms for digital marketers to help grow their customer base. Leveraging cutting-edge deep learning technology and data science since 2015 to more accurately predict consumer behavior and understand nuance, Cognitiv enables brands to connect with their customers in more precise, relevant, impactful moments at scale.
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Deep knowledge and passion for the cryptocurrency and blockchain industry. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Experience with parallel programming, machine learning, bioinformatics, cybersecurity, sparse linear algebra or graph databases is preferred. Experience with machine learning, bioinformatics, cybersecurity, sparse linear algebra, and/or graph databases are highly preferred.
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Provision and developthe training and learning assets for AP content teams (Assessment Leads and Course Leads) in support of the principles and best practices in assessment, including, but not limited to, learning modules and courses in topics such as test form assembly, psychometrics in assessment, fairness in assessment, and best practices in item writing.
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Responsibilities:Design, develop, and implement CI/CD pipelines for machine learning models using tools like Airflow or similar solutions. Experience with other cloud platforms such as GCP, AzureWe offer a competitive compensation package and a chance to work on cutting-edge machine learning projects.
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They are responsible for content instruction in mathematics, English Language Arts, and social studies, and social-emotional learning. In addition to rigorous, joyful and engaging academics, Public Prep emphasizes social-emotional learning as critical to supporting the whole child.
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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.
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machine learning deep jobs Company: Jpmorgan Chase Co in New York, Bentonville, Kansas
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