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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practicesProven track record designing and building complex end-to-end systems (full stack developer)Hands-on experience in designing and developing using the one or more of the following technologiesJava RESTful Web Services (Java, J2EE, JUnit, and Tomcat.
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Position Overview: As a Machine Learning Infrastructure Engineer, you'll play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
$450,000Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Engineer and implement operating system deployment, software and patch distribution management such as RIS/WDS, WPE, MECM/SCCM/OSD, Intune, WSUS.Evaluate and recommend workstation hardware, such as desktop, laptop, tablet computers, peripherals and accessories.
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Experience building multi-tenant, virtualized infrastructure and/or working on open source software/contributions to open source Redis/memcached/Cassandra/PSQL a strong plus. Build enhancements, new components, new services, within an existing software architecture and suggest improvements to the architecture, operational practices, scalability, resiliency.
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Preferred Qualifications Familiarity with biological data formats, concepts, and computational models is a plus The salary range for Redwood City, CA: Staff Machine Learning Engineer: $232,900 - $315,100 The salary range for San Diego, CA: Staff Machine Learning Engineer: $221,000 - $299,000 Exact compensation may vary based on skills, experience, and location.
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Our client, a subsidiary specializing in traffic engineering and transportation design, is seeking a Traffic Engineer Project Manager (Professional Engineer license required) for a fully remote position.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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RCM is seeking an experienced Full Stack Software Engineer. Job Function: Full Stack Software Engineer. Job Title: Software Engineer. You are familiar with one or more idioms for backend software development (while we use TypeScript, we trust your ability to rapidly learn new languages, so please apply if your experience lies in other paradigms like raw C/C.
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Experience designing and implementing solutions to large scale data problemsAre interested in solving business problems for Stripe’s Finance teamMinimum requirementsHave 5+ years of industry Software Engineering experience.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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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. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters.
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We believe the current customer experience is only scratching the surface of innovative experiences that are made possible as dating continues to shift online, and that science is at the center of delivering a step-function change for our CX.We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr.
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machine learning software engineer end jobs Company: Amazon Web Services Aws in San Francisco, CA
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