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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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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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HQCA recently acquired Geli, a leading developer of Energy Management System software for energy storage, solar, and other renewable resources. Description The Post PTO (Permission to Operate) Success Manager is responsible for creating and executing the process for Homeowners to transfer the ownership or purchase their Third Party Owned (TPO) systems.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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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 Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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Develop process flow diagrams, heat and mass balances, P&IDs, controls strategies, and process simulation models using industry-standard software tools (such as Aspen Plus, HYSYS, or gPROMS). We are a seed-stage startup developing Haber Bosch 2.0 - a next-generation ammonia synthesis process enabling cost-effective, clean ammonia production.
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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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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. 5+ years of Machine Learning modeling experience.
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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 8 days ago - UpvoteDownvoteShare Job
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The successful candidate will play a crucial role in building and leading this team, implementing robust testing and monitoring processes, and collaborating across Cash Business, Product, Machine Learning, Compliance, and Counsel teams to enhance Cash App's risk management capabilities.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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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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Do you have 7+ years of professional experience as a software engineer (not including education or internships)? Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance.
$190,000Full-timeExpandApply NowActive JobUpdated Today
machine learning software engineer next insurance customer success jobs in South San Francisco, CA
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