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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
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Apex is seeking a seasoned Consultant with strong consultative skills to act as a Machine Learning Ops Engineer within Apex Systems Consulting Services. 7+ years of experience in application/software development with 3-5 years combined experience delivering DevOps and Machine Learning solutions (a.k.a. "MLOps") in a Production/Enterprise setting.
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As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance. Candidates may also qualify to be considered for Machine Learning Data Engineer III.
$88,400 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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S/he is proficient in (or eager to learn) the typical software and hardware of a school-based design studio, including CAD/CAM and/or Open Source Design software; programming languages such as Java, Python, Robot C (Arduino), or Scratch; and machines such as 3D scanners and printers, laser cutters, CNC routers and their associated tools and equipment.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Full Stack Engineer (or closely related occupation) designing and developing end-to-end software solutions using Java, AWS, Power Platform and Database Technologies (Oracle, SQL Server) in a financial services environment.
$135,750 - $145,750 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Professional registration as a geologist, engineering geologist, or geological/geotechnical engineer strongly desired. We are looking to add a full time Senior Geological Engineer to our Energy group.
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You will support Machine Learning projects end-to-end and develop platform tooling for the Data Science team. You will be responsible for Machine Learning Operations outcomes: Velocity of Model Deployments, Validation of Model Deployed Code and Versioning of Data, Model and Infrastructure.
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The HVAC sales engineer will then use a variety of intricate calculations regarding airflow and aerodynamics to find the best match. When working through these calculations, the HVAC sales engineer will consider not only the main machinery, air conditioners, heat pumps, chillers, or exhaust equipment, but also the placement of ductwork, blowers, vents, and items like compressor capacity and condenser requirements to achieve the climate environment specified by the designers.
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The Lead Full Stack Software Engineer, a pivotal role within the AI Engineering team, spearheads the design, development, and deployment of critical software architectural components and solutions.
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This position reports directly to the Port Engineer or Fleet Engineer as assigned. Assists and supports Fleet Engineer and Port Engineer. Ability to learn and take direction from port engineer.
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Advanced-level knowledge of technologies such as: mobile/web frameworks, omnichannel experience design, public/private/hybrid cloud, security and privacy, action arbitration, event streaming, AI/machine learning, consents, preferences, microservices, containerization, APIs, SOA, and/or messaging.
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Machinist’s Mate Nuclear (MMN) Nuclear Machinist’s Mates operate and maintain steam turbines and reduction gears used for nuclear ship propulsion and auxiliary machinery such as turbogenerators, pumps and oil purifiers.
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Working with Software Analysts, Scrum Masters/Team Coaches, QA Analysts, Product Owners, and other cross-functional resources to define and deliver business-impacting projects. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process.
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machine learning software engineer jobs Title: cloud software engineer in Lincoln, RI
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