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Your role will focus on utilizing machine learning and deep learning technologies to advance our platform, which integrates UAV and satellite remote sensing data for environmental monitoring. Knowledge of remote sensing techniques and data sources, especially UAV and satellite imagery.
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Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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The Senior Manager will partner with various internal stakeholders to determine Vantage’s priorities and positions on programme-level policy topics including ESG (e.g. energy efficiency, carbon accounting and waste heat); planning and permitting policy (e.g. environmental impact assessment); energy (e.g. self-generation of electricity, renewable energy;) and technology-related policy (e.g. cybersecurity, artificial intelligence, and data sovereignty.
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You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Substantial experience drafting, negotiating, and closing complex software sell-side transactions and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property, including open source software.
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In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries.
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A rapidly expanding AI-powered customer analytics company focused on delivering deep customer insights and personalized experiences using cutting-edge artificial intelligence, machine learning, and data science techniques.
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Their automated data platform simplifies everything from financials to ESG analysis and reporting, empowering data-driven decision-making for private equity, venture capital, and government-backed funds.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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Develop the data analytics and AI/ML skills, capabilities, processes, and tools for Teva to apply advanced techniques to achieve its growth agenda, such as machine learning/artificial intelligence, generative AI, natural language processing, natural language generation, modeling and simulation, predictive analytics, etc.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Artificial Intelligence is changing the world as we know it, and Vantagepoint ai has been pioneering the application of AI in the Stock Market for over 33 years. Fintech Sales professionals looking for a stable place to make big money and call home; this is the opportunity you have been looking for.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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