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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. 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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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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The Learning & Development Partner reports to the Learning & Development Manager and serves Brasfield & Gorrie’s internal clients as a learning and development professional. Assist the Learning & Development Manager with department planning (e.g. budget, program implementation.
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Analyze key performance indicators and interpret historical data systems' performance to identify, recommend, and implement design changes and modifications that reduce life-cycle costs, improve machine productivity, and/or enhance safety of personnel or the environment.
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Instead, we seek people with a good understanding of data structures and algorithms and the ability to apply this knowledge in learning new tools. You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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To accelerate our clients' transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design - with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
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Experience developing solutions in at least 4 of the following technology areas:Microsoft Azure (Preferred) Microservices and Containers DevSecOps Data Analytics ML/AI (Machine Learning / Artificial Intelligence) Data Center Operations.
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Blu Omega is seeking a motivated and detail-oriented Jr. to Mid-Level Databricks Data Analyst to join our team. The ideal candidate will have experience with Databricks in Azure and possess strong analytical skills to help drive data-driven decision-making processes.
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The technology areas of focus for the role includes Data Center and end user networks, public and private Network Transport and Optical systems and emerging technologies (Switched-Ethernet, LTE, etc.
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machine learning data jobs Company: Guidehouse in Atlanta, CA, Arkansas
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