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Strong experience in machine learning model development, deployment, and monitoring. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure Event Hub, Azure DataBricks, MLFlow etc.
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The Reservoir Engineer IV - Machine Learning will perform and lead reservoir engineering technical work for the Permian Business unit working on projects including quantifying reserves and resources and providing reservoir engineering support for efficient development of Civitas’s Permian Assets.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Contribute to interdisciplinary solutions that combine data engineering and Artificial Intelligence/Machine Learning to integrate predictive models. A successful candidate should be able to demonstrate technical proficiency with these mentioned Machine Learning tools and have a proven track record engineering software solutions to process and analyze unstructured data sets.
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You will work on a variety of innovative and meaningful projects, starting with working on web interfaces for Ouva Care Automation & Patient Assistant Platforms that display live, streaming data by interfacing with our backend systems powered by machine learning.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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Working closely with our data engineering team, you'll design an implement an enterprise-grade machine learning infrastructure focused on credit risk modeling and fraud detection based on blockchain data.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Understanding of modern SRE best practices.
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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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