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Knowledge of model building and/or validation (using SAS, R, Python, Matlab, etc. The Model Risk Analyst role contributes to the overall quality of risk management across the Bank by collaborating with Corporate Risk Management directors, senior leaders, business unit managers, and model owners for the purpose of ensuring model development, model implementation, and model monitoring, conforming to the standards set forth by both the Bank’s Model Risk Management Framework and the provided regulatory guidelines.
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Experience with Python and Spark in DataBricks required. Developing in languages like Pyspark and Python. Developing and optimizing Spark-based data processing applications on the DataBricks platform.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Cultivates Csuite relationships with global cloud service providers (CSPs), digital services/SaaS providers, enterprise, cloud and public sector customers, independent software vendors (ISVs), system integrators (SIs), and managed service provider (MSP) partners to maximize utilization of Company product capabilities.
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Must have two years' programming experience in at least two of the following: R, Python, SQL. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3.
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Proficiency in one or more general purpose programming languages such as Python, Ruby, Go, or Rust. Familiarity with modern security frameworks and best practices, such as the MITRE ATT&CK framework and NIST CSF.
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Fluency in one or more scripting languages such as Python or Golang. Hands-on experience working with at least one of Oracle Cloud Infrastructure (OCI), AWS, GCP, Azure, or similar cloud providers.
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As a Software Developer using Java, Ruby, Python, MySQL, Postgres, as well as Microservices, cloud tools such as AWS, and software delivery pipelines, CI/CD systems, and software deployment and orchestration systems including Kubernetes and/or Docker.
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Experience with scripting languages and relevant data analysis libraries: Python (Pandas, Numpy, SciPy), Jupyter Notebooks, and other statistical/analytical toolsPresent information using data visualization tools (Cognos, PowerBI, Plotly, Dash, Matplotlib, Seaborn, etc.
InternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with statistical and data analysis programs such as R, Python. Familiarity with primary cell culture, qRT-PCR, RNA/DNA isolation and purification, and transcriptome analysis. Concierge prescription delivery on the main campus when using UAMS pharmacy.
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Proficient in scripting and programming languages such as Python, Bash, or Java. Familiarity with configuration management tools like Ansible, Chef, or Puppet. Working knowledge of cloud infrastructure (AWS, Azure, GCP) is a plus.
$65,000 - $75,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Skilled in Java, Python and Perl. Familiar with GIT, Postman and Visual Studio. Experience in Kafka and data streaming solutions. The primary responsibilities of the Senior Software Engineer are to design, develop, test and maintain software and applications related to file and message-based (API) Integrations.
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The development environment is dynamic and includes Windows, Linux, and Cloud (AWS and Azure) for Mobile, Web and Desktop, coding with C#, Java, and Python, and CSS, Java and PL/SQL scripting. The development environment is dynamic and includes Windows, Linux, and Cloud (AWS and Azure) for Mobile, Web and Desktop, coding with C#, Java, and Python, and CSS, Java and PL/SQL scripting.
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Python, TensorFlow or PyTorch. Many areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, IoT are highly relevant to our research.
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High Level Programming in Data Engineering, Data Science, or Machine Learning (Python, Scala, Java, R, SAS for Data Science, etc). Knowledge of open-source application stack commonly used in data science workflows (Pandas, Spark, Sci-kit Learn, TensorFlow, Keras, etc.
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Java, Python and/or PHP. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. 5+ years of software engineering work experience, including hands-on technical management building holistic web based software solution, API design, and interactions between servers and clients.
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