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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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What you bring to the table: 3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank. Intelligence is the lifeblood of today’s music business, and in this role you’ll get a chance to apply your creativity and problem-solving skills to help our labels and artists connect with consumers across an array of media and mediums.
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Extensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. + Deep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
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Play a key role in building out the Business Intelligence team’s technical capabilities and BI data assets, incorporating entitlements, Tableau, and Snowflake. The Business Intelligence team within EDM is responsible for delivering analytics solutions that enable our stakeholders to make data driven decisions.
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The group puts innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Artificial Intelligence, Data Intelligence, Web3, Metaverse, Blockchain or IoT.
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The role:SoFi’s Senior AI Specialist - GenAI, NLP (Banking/Financial Services) is a critical hands-on engineer position in SoFi’s growing independent risk organization focussed on applying data processing/reporting and practical artificial intelligence techniques to solve real world problems.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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Fidelity’s Financial Intelligence Unit is looking for a data technologist to join our technology enablement team. 6+ Years of Data Engineering (DB2, Snowflake, Oracle, MongoDB, Redshift, PostgreSQL.
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We’re using artificial intelligence, autonomy, computer vision and marine robotics to create a difference in the world with underwater technology for our clients in offshore renewable energy and the subsea industry.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Director, Model Validation for SHUSA Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR- and other regulatory requirements around Compliance models.
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This is an extraordinary opportunity for someone looking to shape the national conversation on the intersection of emerging technologies like artificial intelligence, quantum computing, or synthetic biology with America’s role in the world.
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
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modern data artificial intelligence jobs Company: Publicis Sapient in Jersey City, NJ
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