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5+ years of machine learning, data science, software development, and/or similar experience, with significant contributions that you can talk to. Create, design, and deploy ETL and ELT flows for consuming from disparate sources of 3rd party data for various machine learning applications.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. A Rater reviews the results returned in a specific search query and rates them in terms of relevance.
InternWork from homeExpandUpdated Today - UpvoteDownvoteShare Job
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Develop experimental and analytic plans for machine learning algorithms and data modeling processes, use of strong baselines, and ability to accurately determine cause and effect relations.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will build zero-to-one machine learning capabilities, including learning-to-rank models for search result optimization, query and content understanding, personalization and machine learning based retrieval.
$127,000 - $165,000 a yearExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in the python data and machine learning ecosystem, including experience with pytorch. 2 years of experience working in a data-intensive or machine learning role.
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Our technology spans across web, mobile, API, big data, machine learning, search, physical point of sale, and scanning systems. As an Engineering Manager youll foster an engineering culture focused on learning and rapid validation of ideas through experimentation.
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5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Must have strong experience managing programs/projects related to data solutions - Data Warehousing (DW), Business Intelligence (BI), Analytics, Visualization and/or Machine Learning/Data Science field (warehouses, data management, analytics, visualization, data science, etc.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Our extensive industry expertise, including the use of data science and machine learning with key investments in proprietary technology, helps consumers cut through the confusion and enroll confidently.
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Experience creating and using machine learning algorithms and data structures. Your primary responsibility will be to develop groundbreaking machine learning applications, steering them from conceptualization to production within Reverb Search and Recommendations.
$127,000 - $165,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Our product uses machine learning, artificial intelligence, and data to make intelligent decisions and recommendations. Familiarity with the retail media ecosystem, e-commerce, or paid search ecosystems is preferred.
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You will work on roles in Software Engineering, Cybersecurity, Data Analytics, Machine Learning/AI, Product Management, and more. 3+ years of sourcing experience in a corporate recruiting or RPO environment, with a focus on software engineering, data & analytics, product management, or other Computer Science field.
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Associate Director, Data Science - Responsibilities:Actively engage in hands-on development of internal models and processes, including machine learning models, numerical optimization, statistical significance testing, ML-as-a-service API development, and streaming event data processing.
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Demonstrated experience working with data science teams in consuming services and providing data pipelines to build machine learning models. You will provide direction for Search with a focus on the engineering aspects such as technical dependencies on product and category services, interactions with data science teams and services that provide user search intention and suggestions, architectural agreement for modernized search, and maturing the Agile processes driving the Search teams.
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