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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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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.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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Postdoctoral fellow is an entry level position in which the research fellow receives training under close supervision of faculty in the Emory University, School of Medicine, Department of Biomedical Engineering”Qualifications: A doctoral degree or equivalent in Electrical Engineering, Biomedical Engineering, Neuroscience, Computer Science, Machine Learning, or highly related fields.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Senior Data Scientist, ideally with a background in demand forecasting and time-series, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges.
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Proficiency in data analytics and machine learning techniques, with hands-on experience in developing and implementing predictive maintenance and optimization solutions including relevant certifications in AI or related fields (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI/ML certifications) are desirable.
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Knowledge of digital technologies such as AI, machine learning, IoT, blockchain, and cloud computing. BA/BS degree in Engineering, Supply Chain, Computer Science or Data Science.
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Job Description :JOB SUMMARYThis position supervises and participates in the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices.
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Drive the team to leverage the latest techniques in data engineering, machine learning, and data visualization to build a suite of both user-facing and internal-facing capabilities that enable fast resolution of customer issues to keep the customers focused on getting the most value out of the Snowflake platform.
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The OR/SE also elicits information from Subject Matter Experts (SMEs) and stakeholders, and iterates with them to develop qualitative models of their expertise and/or needs and utilizes applied statistical analysis, machine learning, optimization, and visualization to support defensible decisions and decision processes.
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Some experience with data science or machine learning is helpful. Bachelors with 2 years experience or a Masters degree in a quantitative discipline such as economics, finance, mathematics, engineering, or statistics.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer. Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
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Familiarity with artificial intelligence and machine learning concepts. As a key member of our engineering team, you will play a crucial role in designing, developing, and maintaining our AI-driven fintech solutions.
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engineering machine learning jobs in Atlanta, CT, France
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