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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Requirements: Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Preferred QualificationsKnowledge of cross-platform development frameworks, such as Flutter/Dart. Understanding of modern SRE best practices.
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As a Machine Learning Engineer, you'll be responsible for designing, developing, and managing the platform and framework that facilitates automated, data-driven decision-making. Understanding of statistical, machine learning and deep learning algorithms.
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Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib, Pandas, Numpy) is an added advantage. Experience in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Understanding of modern SRE best practices. Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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We are responsible for the end-to-end digital and physical Guest experience for all technology and digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney.
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Strong demonstrable experience using Dart in building Flu t t e r consumer-facing applications. Bachelor's degree in computer science , Engineering, Information Systems, or related field/work experience.
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Build well-designed, well-engineered, stable, performant mobile applications using Flu t t e r and Swift. Experience with Typescript. Strong demonstrable experience using Swift in building iOS consumer-facing applications using both UIKit and SwiftUI.
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Experience working in an Agile Team consisting of product managers, project managers, design, QA, and tech. Analyze user stories, provide realistic estimations, and participate in sprint planning, scrums, demos, and retrospectives.
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Contribute to the entire development cycle, including technical design, development, testing, experimentation, analysis, and product launch. This role is a part of the Retail & Restaurant Commerce Technology organization within Disney Experiences Technology & Digital.
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Experience mentoring junior team members and the ability to deliver encouraging and constructive feedback. Recommend improvements to processes, technologies, and coding practices that improve the team's effectiveness.
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The Machine Learning Engineer III will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications.
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Work collaboratively with data scientists, machine learning engineers, and DSP engineers to create, execute, and execute test plans, both in simulation and as implemented on embedded products, to identify areas of improvement and validate expected functionality of video and audio signal processing, machine learning, and artificial intelligence.
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