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Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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We optimize our clients’ experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/machine learning. Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog the competition with platforms that deploy Artificial Intelligence and Machine Learning.
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We are looking for an innovative, dynamic, entrepreneurial, strategic leader with a wide array of technical expertise including data science, epidemiology, drug development, AI and machine learning as well as an in depth understanding of the pharmaceutical industry, regulatory strategy and evidence generation.
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Certifications in AI, machine learning, or data science. At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
$220,400 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Js for User Interface (UI) developmentKnowledge of Python, Spark, Hadoop, Big data, and science for anomaly detection using machine learning and statistical risk modelsExtensive experience with databases (including Oracle or Structured Query Language (SQL.
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Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques.
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Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience.
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Lead the adoption and integration of cutting-edge data technologies, including AI, machine learning and data analytics, to enhance business intelligence, operational efficiency, and self-service.
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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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Job description Infosys is seeking an AWS ML Engineer with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in Insurance and Healthcare domains.
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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, and Machine Learning engineers for full-time positions with clients.
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Additional course offerings may include undergraduate and graduate classes in numerical weather forecasting, dynamics of synoptic weather systems, data assimilation, and meteorological applications of machine learning and artificial intelligence, as well as other applied or theoretical classes commensurate with the candidate’s interests and expertise.
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