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Who You AreYou have a BS, MS, or PhD in relevant field: Data Science; Computer Science; Applied Mathematics, Statistics, Economics, Engineering or related field, with a focus on Artificial Intelligence (AI) or Machine Learning (ML.
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Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Our proprietary data, analytics, and technology, coupled with deep expertise, works as a force multiplier to secure your full ecosystem. Maintain a deep understanding of the insurance industry's cybersecurity challenges, including data privacy, fraud prevention, and regulatory compliance (e.g., GDPR, CCPA, HIPAA, NYDFS Cybersecurity Regulation.
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Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. As a Machine Learning Engineer with a focus on NLP, you will play a key role in developing and optimizing our AI-driven language tools.
$400,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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In this hybrid role, you will report to a Director in Machine Learning. Manage multiple teams of world class machine learning software engineers. You Will Push forward on the state of the art of deep learning to solve extremely challenging real world robotics problems that is already driving at large scale.
$410,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Pearson VUE is a business of Pearson, the world’s leading learning company with global-reach and market-leading businesses. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) A degree in statistics, data science, or similar STEM field with 10+ years of experience in a relevant role.
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From data-driven insights to cloud transformation, the information technology team moves the SF Fed forward. Python, Scala, Java) along with SQL and no-SQL database experience as well as Infrastructure as a Code (IAC, preferable Terraform) Ability to design solutions that can perform real-time, large-scale data processing in a distributed environment using Apache Spark using PySpark or other.
$248,700 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Companies across multiple industries are embracing real-time 3D technology to unlock the true value of their data with digital twins for use cases like product configuration, simulation, operations and human machine interface (HMI.
$138,400 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
$199,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. Are you passionate about the chance to bring your sales experience to a world class company that is market leading for both content and technology.
$271,700 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Work collaboratively with general education counselors and staff in order to implement MTSS systems, therapeutic interventions, goals, and data tracking for all students for the purposes of fostering better mental health and positive learning environments.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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Have the ability to learn and utilize instructional technology to support in-class and distance learning when needed (i.e. Zoom, Nearpod) Essential Functions and Responsibilities Daily lesson planning and long term planning using curriculum and resources to align with KIPP’s academic vision and goals.
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machine learning data mining jobs Title: technology intern in San Francisco, CA
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