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Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Develop software related to machine learning, artificial intelligence and data analytics.
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3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Good experience in Single Page App development using ReactJS for creating interactive UI's, Virtual DOM, Component life cycle, JSX, React Route, TypeScript, ReactJS echo system and concepts.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy. Formal training in one or many of the following: signal processing, optimization, machine learning, linear algebra.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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1-3 years' work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
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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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The successful candidate will have expertise in multi-modal data integration (i.e. electrocorticography, fMRI, psychophysics), biomarkers of cognition and disease phenotypes, dynamical systems, and machine learning/artificial intelligence.
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You will ship core improvements to our machine learning models, with a focus on credit risk and underwriting, thereby accelerating our core mission of delivering increasing value to borrowers over time.
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As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR.
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This work will be performed in close collaboration with pediatric neurologist and epileptologist clinician researchers 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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Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining. ○ Experience with A.I. and Machine Learning model development.
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Develops proof of concept applications to utilize azure machine learning for the processing and payment of utility invoices. C#.net, SOA, Azure, Docker, Kubernetes etc. Develops proof of concept applications to utilize azure machine learning for the processing and payment of utility invoices.
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You will need to develop expertise in manufacturing processes such as baking, dough sheeting, mixing, slicing, depositing, and other process systems associated with the business to enable the use of quantitative / statistical / machine learning techniques.
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Proficiency with Azure services, such as Azure Data Factory, Databricks, and Azure Machine Learning. Collect, preprocess, and transform data for machine learning and analytics tasks.
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machine learning jobs in Columbus, OH
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