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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
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Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of machine learning.
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The Sr. Lead, Internal Audit Data Scientist will use advanced analytics, machine learning, and data visualization techniques to address some of Rivian’s most significant and most complex risks.
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset. Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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Identify and build new client relationships with large municipal and Federal clients for Wastewater & Sanitary Sewer Evaluation Studies (SSES), NPDES Stormwater Services, Watershed Studies, and Water / Wastewater / Stormwater Design, Wet Infrastructure Management and Condition Assessment, Surface Water Quantity and Quality Monitoring and Analysis, Live Modeling / AI / Machine Learning Flood Prediction, Adaptive Control design and implementation, and HABs Prediction Machine Learning.
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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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Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more.
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As a media designer, my day to day consists of processing, tracking, and fulfilling media requests submitted by ACS Learning & Development and at times, other departments. For example, producing all the videos that appear in QLX our Quarterly Learning Product.
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Current research themes include intelligent tutors, virtual assistants, smart textbooks, adaptive and personalized learning, self-directed learning, machine teaching, and theory of mind.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred.
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Qualified candidates are passionate about Machine Learning and Artificial Intelligence, excel in problem-solving, and combine an advanced business or technical degree with management consulting or product management experience.
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machine learning jobs Company: Amazon Web Services Aws in Atlanta, AZ, Canada
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