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Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications.
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Should be very good in problem Management, experienced in identifying the workarounds and data corrections with appropriate fixes, perform code analysis, code fix / enhancements based on RCAs and provide RCA, estimation with detailed Investigations and causes of incidents and seeks resolution and suggest recommendations of changes for fix, ad hoc service requests, provide software / patch deployment support, update Knowledge database, self-help documentation.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Hands on experience on Machine Learning, Artificial Intelligence, and/or Big Data. Leveraging innovative technologies such as machine learning and AI techniques to foster data analytical capability and support company growth strategy.
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CLA is growing and seeking to hire an experienced Data Analyst Director to join our talented Information Technology team. Develop predictive analytics, machine learning, and artificial intelligence techniques.
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Knowledge of Data science & Artificial Intelligence/Machine learning, Probabilistic and Statistical Learning Methods. Data Analyst Internship - Summer 2024, Undergraduate. Data Analyst Intern.
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Applying data science methods (i.e., statistical modeling, machine learning techniques: regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
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Basic knowledge in understanding PLC, HMI, sensors used, and its machine packing domain knowledge is preferred. Should have worked on AWS platform and components (S3 bucket, Lambda functions, Kinesis firehose, SNS, simple queue services, MySQL, authentication, and authorization, webhooks, Access Key, and data collection and processing strategy.
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Assess, develop, and implement data modernization methods (e.g., use of APIs, machine learning technology such as Natural Language Processing (NLP), and other artificial intelligence [AI] tools) for gathering, analyzing, and visualizing quantitative and qualitative DHP data to further enhance the efficiency, effectiveness, and utility of the Dashboard.
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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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The Lead Data Analyst / Data Scientist works with business owners, Project Managers, Senior Project Managers and other "Requesters" of data services to translate requests into clear and actionable deliverables and conclusions.
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You will perform data cleaning and data pipeline engineering, analyze textual and numerical data, and may utilize various tools in Azure and AWS cloud environments to deploy generative AI, natural language processing, and machine learning workflows.
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Must have experience in IoT platform and worked on AWS services and components with various IoT gateways, data communications and interfaces with any manufacturing industry, preferably packaging domain with Telit IOT platform.
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Should proactively work with Client team with help desk team, infra support team on L1 incident management and service requests communication and response/ resolution for connected machine platform support work.
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This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS.
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machine data jobs Title: analyst in Atlanta, MO, Germany
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