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Causal modeling, NLP, time series, deep learning, etc. Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Experience with machine learning and AI.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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The Ad Intelligence team falls under Ad Platforms and its mission is to transform advertising and Disney's Ad Platform with data and AI across live TV and streaming. The right person for this role should be experienced with big data technologies, high performance services, organization development, and crafting implementation for either service/data products or fullstack solutions.
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We are looking for a Senior Machine Learning Operations Engineer who is passionate about all things data. Experience in statistics, data mining, or machine learning.
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Experience with SQL, Java or JavaScript, and application API development Exposure to Data Analytics, Cognitive / AI, Machine Learning, Natural Language Processing (NLP) Exposure to process automation modeling/scripting with tools such as BluePrism, Automation Anywhere, UiPath, WorkFusion.
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Knowledge of one or more of the following: Machine learning, distributed systems, quantum simulation, quantum chemistry, linear algebra, quantum information, or quantum physics. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Model Development: Build and optimize machine learning models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, and deep learning architectures.
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What you’ll do:We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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You will play a key role in designing, developing, and integrating critical data science infrastructure and developing custom machine learning algorithms from scratch. As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world.
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In Support Product we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. The team currently consists of server engineers, designers, and product management, machine learning modelers and applied machine learning engineers located in Australia and the United States.
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Department of Psychiatry and Biobehavioral Sciences General Faculty Search: Health Sciences Clinical Professor Series University of California Los Angeles Requisition Number: JPF08963 The Department of Psychiatry and Biobehavioral Sciences in UCLA's David Geffen School of Medicine (DGSOM) is seeking faculty to work as a part of a team emphasizing high quality, patient-centered psychiatric in-patient and/or outpatient care.
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High familiarity with data platform and applications such as S3, Tableau, Databricks, Redshift and Airflow. Experience with data governance tools such as Alation, Collibra, Databricks Unity catalog, Informatica etc.
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