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Minimum of 2 years experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) + Digital Factory Strategy Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
$58,500 - $188,100 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Prior exposure to validation or development of BSA/AML models, Fair Lending models, or Artificial Intelligence and/or Machine Learning models within a Financial Institution. Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
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4 to 6 years of proven experience as a Data Analyst, Data Scientist, Data Engineer, Machine Learning & Artificial Intelligence Engineer, or similar role. Master’s degree in mathematics, statistics, computer science, data science, machine learning, artificial intelligence, or a related field.
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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Business ecosystems, SaaS, infrastructure as a service (IaaS), ERP (i.e. SAP, Oracle), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT, Predictive analytics and AI/ML (Artificial Intelligence, Machine Learning), etc.
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The ideal person will have a balance of experience from a traditional sysadmin background (new hire provisioning, WAFs, maintenance and patching, permissions and security reviews) to experience creating systems for software development machine learning and AI SaaS. The person is intellectually curious, persistent with the details, a strong communicator, and has an entrepreneurial spirit.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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Showcase a proven track record of successful artificial lift system design, optimization, and troubleshooting. Mentor and train junior team members on artificial lift best practices, troubleshooting techniques, and unconventional field challenges.
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Lead end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectives.
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Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, and model. Experience building and bringing practical use, knowledge graphs and graph-based machine learning models.
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The Misharin lab is seeking a computational biologist/bioinformatician/data analyst with expertise in machine learning, genomics, single cell RNseq, and single cell spatial genomics to support the ongoing research projects focusing on mechanisms governing lung injury and repair (see Grant et al., Nature, 2021; Sikkema et al., Nat Med, 2022; Bailey et al., bioRxiv, 2023.
$55,128 - $77,525 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Cloud and/or security certifications related to Cloud Architecture, Data Engineering, DevOps Engineering, DevSecOps, and Machine Learning is advantageous. Experience in building, configuring, operating and/or securing cloud infrastructure and applications in Azure or AWS, either with native cloud service provider capabilities or tools such as Terraform, Ansible, CloudFormation, Azure Resource Manager, Google Cloud Deployment Manager, or CloudBridge.
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Maintain knowledge of the evolving regulatory landscape for Digital Health, Artificial Intelligence and Machine Learning technologies, and incorporate best practices in Tempus’ SDLC processes and QMS.
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Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science. Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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deployment machine learning artificial jobs Company: Jpmorgan Chase Co in Chicago, IL
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