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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Expertise in human-machine teams; human-machine interface design; integration of natural language processing; autonomy; modeling, simulation and analysis. Experience with Sketch, Adobe Creative Cloud Suite (namely XD, Photoshop), InVision, Figma, Adobe Illustrator, or Axure.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner.
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Apply advanced knowledge to utilize Rockwell Automation software to read PLC (Programmable Logic Controllers) and HMI (Human Machine Interface) software as well as electrical, hydraulic, and pneumatic schematics to troubleshoot equipment problems to ensure maximum productivity and safe operation of specialized railroad equipment.
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Utilize “Human Machine Interface” (HMI) using commercially available products such as Ignition, Aveva Intouch Wonderware, Aveva Edge (Indusoft)or FactoryTalk View to develop interface solutions.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Amazon Web Services (AWS) is looking for a world class partner leader to drive enterprise digital transformation initiatives with strategic technology partners in the Artificial Intelligence/Machine Learning Sector.
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Develop software for the Robotic Control System and fleet manager who is responsible for optimizing work assignments, AMR fleet movements, and energy management·Apply Modern AI and machine learning methodologies to solve complex robotics problems involving the synthesis of solutions that can measurably streamline the operations of fleets and swarms of robots.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
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machine job Title: analytics Company: Tesla in Atlanta, DE, Germany
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