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The Itzhaki Lab, at Emory University School of Medicine, is a translational bedside-to-bench-to-bedside cardiac electrophysiology research laboratory that seeks to employ a Biomedical Engineering Postdoctoral Fellow specializing in one or more of the following areas: mathematical modeling of biological systems, microfluidics, and machine learning.
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Advanced Analytics: Leading efforts in advanced analytics, including predictive modeling, machine learning, and statistical analysis to derive actionable insights. Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling, etc.
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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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Join our new high visibility team on AutoFlow project that focuses on automating existing business processes using AI, Machine Learning, RPA, Advanced Algorithms and Cloud computing. java, perl, python, sdet, software engineer, software programmer, sw.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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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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Implementing machine learning algorithms including, Linear Regression, Logistic Regression, Support Vector Machines (SVM), Random Forest, and Gradient Boosting utilizing SAS and Python.
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Join our team as a Full Stack Software Engineer and play a pivotal role in shaping the future of Machine Learning and AI solutions within the Consumer & Community Banking sector at JPMorgan Chase.
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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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Apply familiarity and skill with additional programming languages (e.g., Python, R), statistics, machine learning tools, data structure, data modeling, cloud computing, MS Azure, and Databricks to expand and enhance surveillance data value.
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Qualifications:Experience with designing solutions with a blend of low-code elements, pro-code enterprise elements, machine learning & AI cognitive services (for example, Power Platform, Azure App, Azure Cognitive Services & Azure Machine Learning)Fluency and Specialization with at least two modern languages such as Java, C.
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Experience in machine learning, artificial intelligence, or large language models (LLM) Experience in performing data manipulation, cleaning, analysis, or visualization in R, SAS, Python, or SQL.
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Knowledge and experience as a Systems Architect for Machine Learning (ML) systems. Experience with software development in one or more programming languages (e.g., Go, Python, R, Julia, C/C.
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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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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.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
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