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For data scientists: Experience with Python Notebooks, RStudio Experience with SQL Some experience in non-relational databases (e.g. MongoDB, ElasticSearch), semantic technologies, natural language processing and machine learning.
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Software And Data Engineer The Opportunity: As a Software and Data Engineer, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, quantum computing, machine learning, and artifi cia l intelligence.
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Integrate Databricks with other data tools and platforms, such as data warehouses, business intelligence tools, and machine learning frameworks. Master's degree preferred with emphasis on data science, data analytics engineering, and machine learning/AI.
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This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business. ll do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.
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Harness your expertise in areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Software Engineering & DevOps, Signal and Image Processing, and Mathematics.
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Apply your skills to projects in areas such as artificial intelligence, machine learning, data science, mobile and web-based software development, natural language processing, and semantic web technologies.
$46 an hourFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
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We design, build, implement, and manage advanced analytics and visualization solutions that leverage our deep expertise in Analytics Process Automation (APA), Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL) to enable our clients to achieve success through robust, durable solutions.
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Multi-Sensor Data Fusion, Target Classification and Discrimination (Machine Learning / AI applications) + Mathematical background in areas such as statistics, linear algebra, complex analysis, differential equations, Monte Carlo methods, numerical methods, and machine learning (ML) or artificial Intelligence (AI.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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The Opportunity: As a Software and Data Engineer, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, quantum computing, machine learning, and artifi cia l intelligence.
$220,000 a yearPart-timeExpandApply NowActive JobUpdated 3 days ago
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