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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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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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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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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field. Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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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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JOB DESCRIPTION Under the supervision of a Board Certified Behavior Analyst, the Behavior Technician provides in-home/community based Applied Behavior Analysis (ABA), with children diagnosed on the autism spectrum.
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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. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Work collaboratively with a BCBA (Board Certified Behavior Analyst) to implement procedures of Applied Behavior Analysis (ABA) therapy. Competitive Pay: $20-$33 per hour based on Applied Behavior Analysis (ABA) therapy experience and RBT Certification.
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At the graduate level, we offer degrees in Applied Behavior Analysis, Educational Psychology, Instructional Technology, and Special Education. At the undergraduate level, we offer bachelor's degrees in Sign Language Interpreting, Special Education, Human Learning and Development, and a minor in Educational Psychology.
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The Learning & Development Partner reports to the Learning & Development Manager and serves Brasfield & Gorrie’s internal clients as a learning and development professional. Assist the Learning & Development Manager with department planning (e.g. budget, program implementation.
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Reporting to the Lead Data Scientist, you will play a crucial role in our analytics capabilities, spearheading the development and implementation of cutting-edge machine learning and artificial intelligence frameworks that empower our customers to unlock actionable insights from complex data.
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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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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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