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Use existing machine learning algorithms and developing custom ones tailored specifically to Lincoln Electric interested areas such as robotic welding, predictive maintenance, interactive learning, etc.
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Utilizes methods particularly in the areas of modeling, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and experience designing/implementing solutions.
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Position for Sr. Data Scientist Technical Side Needed with HealthCare Or Financial Domain Needed Loc
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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6+ years’ experience managing and delivering complex and technical projects, preferably in the data science space2+ years’ experience crafting the strategic direction of technical programs within domain specific industriesPrevious experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc.
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Extensive experience in developing and implementing AI algorithms and models, leveraging machine learning techniques such as deep learning, natural language processing. Experience in leveraging continuous integration and robust build/test automation, with a preference for cross platform stacks and containerization (Azure DevOps, GitHub Actions, JFrog Artifactory.
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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Hands on Quality Engineering experience in developing and executing test strategies for AWS Sagemaker, data / code pipeline integrations, with a focus on machine learning operations. Hands on Quality Engineering experience in developing and executing test strategies for AWS Sagemaker, data / code pipeline integrations, with a focus on machine learning operations.
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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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8+ years of experience in several of the following areas: Data Center infrastructure systems (Active Directory, Networking, SAN), database architecture, business intelligence, big data, machine learning, advanced analytics.
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Proven experience 5 to 7 as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning solutions in real-world applications in Azure environment Proficiency in programming languages such as Python, R, or Java, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Azure ML. Gen AI/LLMs etc.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Background in Model Risk, including detailed knowledge of model validation related to statistical, AI and machine learning models, preferred. Experience and strong familiarity with Data Science, Artificial Intelligence / Machine Learning, Modeling Techniques, preferred.
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Preferred exposure to programming for data analysis, statistical modeling, machine learning, and data visualization (SQL, SAS, Python, R, Tableau, and others as appropriate) Knowledge of statistical techniques, machine learning approaches, and/or data mining concepts.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
$120,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 29 days ago
machine learning jobs in Cleveland, CA, New Hampshire
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