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D esigning and implementing digital supply chain solutions, applying technologies such as process automation, IoT, big data, artificial intelligence/machine learning, predictive analytics, blockchain, etc.
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Has demonstrated proficiency in one or more sub-disciplines of data science, like causal inference, forecasting, simulation, optimization, machine learning, or deep learning, geospatial.
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
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Experience with reverse engineering, digital forensics (DFIR) or incident response, or machine learning models. 5+ years of experience in a technical role in the areas of Security Operations, Threat Intelligence, Cyber Incident Response, or Penetration Testing/Red Team.
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DynaCHIP is an advanced microfluidics platform that provides real-time, flow-through sample prep, and DynaMARK is a machine learning software module that provides on-demand advanced bioanalytics.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
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8+ years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions. Design, develop, and implement AI-based applications using Azure technologies, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.
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Experience using Azure tools Notebooks, BYOML (Bring Your Own Machine Learning), or Open AI (Artificial Intelligence) is a big plus. Familiar with Azure connected machine agent deployments using Azure Arc and creating custom rules and connections; proven experience utilizing Azure DevOps for managing several Azure Sentinel instances in multiple tenants.
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Promote data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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As a Trust & Safety Operations Guideline and Procedure Author , you will be the foundation of the Microsoft teams responsible for driving machine learning, AI technology and digital safety enabling Microsoft's customers to solve real business solutions across a variety of use cases.
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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Elite Paradigm provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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machine learning jobs in Atlanta, GA
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