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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
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About Grafana Labs: There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France.
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Designs and builds data processing pipeline using cutting edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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Location: This role can be based remotely in the EMEA or Americas regionThe role entailsBuild strategic relationships with IHV partners at levelsGrow their awareness of open source capabilities on Canonical UbuntuDemonstrate a deep understanding of the Linux and cloud software ecosystemNegotiate contracts and commercial business termsDemonstrate a deep understanding of large and complex organizationsLead partnerships with global accounts such as IBM, Samsung, DellEMC, HPE, Nokia etc.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use.
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Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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Be a full stack developer, while having the opportunity to work in a variety of different emerging technologies such as: artificial intelligence, machine learning, augmented reality, blockchain, internet of things, 3D printers, etc.
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Assist the Site Director in coordinating Project Based Learning, Literacy, Career Awareness, and social-emotional learning activities for the OST youth curriculum. Assist the Site Director in establishing and maintaining communication with school personnel and parents about students and social-emotional learning needs.
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Competitive benefits and premium compensationAs a Lead Preschool Teacher, you will:Be responsible for creating a safe, nurturing, and engaging learning environment for children. Implement our proprietary L.E.A.P curriculum using our fun and engaging characters, making TLE a place where learning is fun.
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Experience with open source languages like R/Python preferredRequired: Proficiency with at least one geospatial mapping toolEsri products like ArcGIS Online and ArcGIS Pro preferredExperience working in social services, economic mobility, or a related field preferredUnderstanding and interest in connection between data, evaluation, and public policyExperience managing projects, particularly projects that require collaboration across different groups or teams.
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Joining our growing, distributed organization, you'll be instrumental in building the foundation that powers HackerOne's one source of truth. By establishing HackerOne's one source of truth and developing data products and solutions on this foundation, we help our Hackers, Customers, and Hackeronies gain insights and make better decisions, thereby empowering the world to build a safer internet.
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Description Position at Catapult Learning School Counselor or Social Worker Full & Part-time | Philadelphia, PA At Catapult Learning, we provide educational solutions that generate academic achievement and better life outcomes for students.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning.
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open source machine learning jobs Company: Capital One in Philadelphia, Enfield, Connecticut
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