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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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As a Sr. Software Engineer for our Data Platform Engineering team you will join skilled Scala engineers and core database developers responsible for developing hosted cloud analytics infrastructure (Apache Spark-based), distributed SQL processing frameworks, proprietary data science platforms, and core database optimization.
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Coordinates with key internal and external stakeholders (e.g. Chief Integration Architect, Chief Technology Officer, Chief Data Science Officer, Chief Data Officer). Skill in collecting, organizing, and analyzing data.
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The University of Miami Health System, "UHealth", IT Department has an exciting opportunity for an RPA (Robotics Process Automation) Engineer 2. The RPA Engineer 2 designs agile, reliable, and scalable technology solutions to enhance business capabilities.
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Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies.
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The Center for Southeastern Tropical Advanced Remote Sensing (CSTARS) at the University of Miami Rosenstiel School of Marine, Atmospheric & Earth Science is seeking a Software Developer to augment the ongoing development of satellite management tools and the creation of new internal applications used in the operations management and image processing functions of the Center.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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Requires a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field. Two to four (2-4) years of experience in machine learning, data science, or a related role.
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Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path. Shape software-define networking products for evolving data centre architectures to meet ever-increasing bandwidth, reliability, security, and interoperability demands.
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Our unique approach leverages 50+ years of learning science, cutting-edge data analytics and high-performance coaching. Student Data analysis: Recognizing potential student issues, and collaborating with program management to address challenges, ensuring a smooth learning experience.
$30 an hourFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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With a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. Experience with Credit pricing and risk analyticsExperience with Fixed income pricing and risk analyticsExperience with Docker/Kubernetes, micro services architectureExperience with Gemfire, Redis and MongoDBExperience with CI/CD.
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Experience working with big data (engineering / processing) and data migration. Database Query Engine, Data Infrastructure, Data Pipelines, Data Platform, Database Security, Data Governance, Data Sharing, FoundationDB, Manageability, Metadata, Service Runtime, Snowhouse Foundation, Storage and ML Engineering.
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The incumbent in this role partners with product and optimization teams to identify pragmatic and innovative automation solutions that combine RPA (Robotics Process Automation) with advanced analytics and Artificial Intelligence (AI.
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Strong knowledge in data analytics as applied to failure analysis and corrective actions, Medical Device particularly in diagnostics analyzers and automation, ASTM, HL7 protocol and Health informatics, programming languages and concepts, and problem-solving, communication and technical writing.
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Automate and streamline the partner on-boarding process from a technical standpoint - DSS and data science training, data science enablement and support. Facilitate continuous partner enablement through sales and product content creation and delivery, including surfacing use cases relevant to building Data science projects or MLOps pipelines.
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data science jobs Title: engineer in Miami, FL
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