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Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Optimize Cloudera Data Services for data engineering, data warehousing, and machine learning in collaboration with the respective teams.
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Fidelity Investments – Senior Data Scientist – AI, Machine Learning, Big Data. The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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We provide self service tools to enable data discovery, data processing, data mining and research, reporting, and machine learning/AI, all built using OCI services and industry standard open source distributed computing tools.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) This enables us to provide measurement & alerting on key hardware quality KPI trends, as well as using machine learning to predict hardware failures before they happen and improve the OCI service offerings and customer experience.
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Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. Collaborate with data scientists, software engineers, and product owners to design and implement end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment.
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We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics a big plus. Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
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This includes ingesting and processing large data volumes of hardware telemetry from every machine in our Cloud data centers, both in batch and near-real time. Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge & experience in data streaming technologies such as Apache Kafka, Flink etc. The Data Engineer will get to work with data at scale. Support the development and evolution of our Data Platform.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams, engineers, and program/product management on building optimized and forward looking data tools, insights and reporting mechanisms that drive the business forward.
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We are looking for engineers who are creative, passionate about data and its application in building solutions, and are excited to work at scale to solve customer problems. Build robust, highly available, performant, scalable and reliable data services.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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We’re strongly focused on supporting the high scale use cases of Oracle Cloud Infrastructure (OCI). Knowledge & experience of containerization technologies such as Docker/Kubernetes. Unused balance will carry over each year up to a maximum cap of 112 hours.
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