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This work will be performed in close collaboration with pediatric nephrology and urology clinicians and faculty at NCH. The candidate should be able to leverage both structured and unstructured data sets to create analytical solutions using tools and/or methods in at least one of the following areas: statistical and predictive modeling, machine learning, natural language processing, and geospatial analysis.
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The Senior Machine Learning Engineer actively contributes to the technical design, development, and deployment of machine learning applications, leveraging both established and emerging technologies.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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If you are a skilled AI Machine Learning Engineer looking for a challenging and rewarding opportunity, we encourage you to apply! As an AI Machine Learning Engineer, you will be responsible for developing, testing, and implementing machine learning algorithms and models to solve complex problems and improve business outcomes.
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This work includes partnering with our Machine Learning teams to meet model risk management requirements, with tasks ranging from producing robust model documentation, assisting with monitoring and validation efforts, and partnering with other Upstart stakeholders to understand model risk management needs across the enterprise.
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Providing thought-leadership for innovating toward the next evolution of technology products, including agile approaches, leveraging ‘big data’, cloud platforms and services, advanced analytics, data science and machine learning/artificial intelligence.
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A little about ADP: We are a global leader in award-winning HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Experience in industry-standard asset management solutions, preferably ServiceNow, with best practices (e.g., Common Services Data Model, IT Service Management) and a solid understanding of Configuration Management (CMDB) architecture and schemas.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Master’s degree in Statistics, Economics, Data Science, Computer Information Systems or a related field and 3 years of experience building models in the financial services industry using the following: NLP and Machine Learning techniques and concepts; AWS cloud services including SageMaker, S3, CLI, Athena, Glue, and Lambda; R, Python and SQL programming languages; and Snowflake and SQL databases.
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Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, python, SAS, SPSS, S, S-PLUS, or Stata. Apply machine learning, data mining, and visualization techniques to make accurate and actionable analyses in a timely fashion.
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Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
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Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.
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Practical cloud native experience in AWS (EC2, S2, Glue, AWS Lambda, Athena, RDS, SNS), proficiency with Python, PySpark, Machine Learning disciplines. Practical cloud native experience in AWS (EC2, S2, Glue, AWS Lambda, Athena, RDS, SNS), proficiency with Python, PySpark, Machine Learning disciplines.
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NLP (Natural Language Processing) and Machine Learning algorithm development. -Developing and administering statistical and machine learning methods applied to predictive analytics problems in the healthcare space.
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machine learning jobs in Columbus, OH
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