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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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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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Responsibilities Drive gasoline or diesel-powered equipment such as Front-End Loader, Backhoe, Landscaping Tractor, Road Roller, Excavators, Road Sweeper and other types of equipment associated with Roads and Trails Maintenance.
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Front-end Development: Take ownership of the user interface and user experience (UI/UX) design, ensuring visually appealing and responsive interfaces. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React or Angular.
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Keywords: Water/Wastewater Engineer, Environmental Engineering, Clean Water, Safe Water, Resilient Water Supplies, Civil Engineering, EIT, FE, Professional Engineer, California, MS Office, ArcGIS, AutoCAD, WaterGEMS, InfoWater, InfoWorks ICM, InfoSWMM, Salary Range, Benefits, Bonuses, Tuition Reimbursement, Collaborative Team, Diverse, Inclusive, Confidential.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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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. We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission.
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Swift’s technology is trusted by users across industries, enabling safer driving, improving efficiency for last-mile delivery and commercial transport operations, increasing accuracy for mobile devices and creating new possibilities for rail, robotics and machine control.
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We are a Y-combinator backed augmented reality (AR) startup building a cloud-based visual mapping SDK for mobile AR apps.
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Experience with front-end web development (HTML/CSS, JavaScript). You'll be: Designing and improving everything from end-to-end user flows to visual optimizations for specific features.
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As a Software Engineer (Frontend) at SigFig, you will be instrumental in designing and developing intuitive, user-friendly interfaces that enhance the user experience of our financial technology solutions.
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Front End DeveloperREMOTE/ 4 to 6 months Contract with possible extension. setup a LAMP stack (or similar) on a VM.Familiarity with Google Firebase ecosystem (e.g. Using Google Firebase Hosting, Cloud Functions, Cloud Firestore and Realtime Database, BigQuery tools, etc.
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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.
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Our long-term vision is to invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.
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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. You will dig into the minds of todays top practitioners in data science, artificial intelligence, and/or machine learning, to help them develop courses that are highly applicable, practical, and engaging.
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machine engineer front end jobs Company: Amazon Web Services Aws in San Francisco, CA
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