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3+ years (or educational equivalent) building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake.
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Building end-to-end production system including query understanding and ranking to power search Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing. Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining.
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Directing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Content Management, Reporting, Search; Protecting intellectual property, disaster recovery planning and adherence to SDLC as well as COBIT, CMMI, PMM4, and ITIL.
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with SEO and analytics tools such as (or similar to) Adobe Analytics, Google Search Console, SimilarWeb, Chartbeat, Google Analytics, Parse.ly, SEMRush, Screaming Frog. Strong analytical skills including the ability to explore data to measure and report on search performance.
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1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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Read more about Rufus on the About Amazon blog: We are seeking a Pr. Product Manager – Technical, to own the vision, development, launch, and continuous improvement of AI-powered features to Amazon Search.
$144,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This track could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; international macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models.
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Use your experience in SEO dataset analysis to identify, size and prioritise data-driven SEO optimization opportunities from a range of sources including digital analytics platforms, search console data, keyword insights, semrush, etc.
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The infrastructure managed by the Data Infrastructure team provides various data processing related to Coupang services, including log analysis, recommendation, price comparison, AB testing, search indexing, advertising, and rocket delivery.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Use Azure Cognitive Search Index, hybrid search for effective data search, Explore the effective search technology as per business need. Technical/Functional Skills Azure Synapse; Azure OpenAI; Digital : Machine Learning; Statistical analysis and computing; Azure Cognitive Service; Python; Azure Data Factory; SQL Experience Required 5 Roles & Responsibilities Build OpenAI solution specific to business requirements.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Your Background:-Experience in the following demand generation channels: email marketing, website & landing pages, marketing automation / lead scoring, ABM, paid search. You will manage & optimize an omni-channel strategy including website, marketing automation, email, landing pages, in-person and virtual events, paid search, and more.
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The United States Coast Guard (USCG) is the maritime security, search and rescue, and law enforcement service branch of the United States Armed Forces and one of the country's eight uniformed services.
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Break down open-ended search relevance problems into engineering strategies by utilizing machine learning, data analysis, and experimentation design. Lead and set the future direction of search quality at Figma in partnership with cross functional teams of innovative software engineers, product managers, and data scientists.
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