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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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Basic Qualifications: A Ph. D. in Materials Science, Chemistry, or related disciplines with a strong focus on machine learning applications to domain science A record of excellence in battery research and development as evidenced through peer-reviewed journal articles and/or issued patents.
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JOB RESPONSIBILITIESAs a Research Intern, you will investigate and apply novel algorithms that combine audio signal processing and machine learning techniques in areas such as music generation, music inpainting, source separation, sound synthesis, signal restoration, automatic sonification, and post-production of music or movies.
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We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow.
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Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Successful completion of a three (3) semester credit course on adult teaching and learning concepts offered an accredited post-secondary educational institution; OR. Completion of a 40-hours continuing education program in adult teaching and learning concepts that was awarded continuing education credit by an accredited organization; OR.
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BCforward is currently seeking a highly motivated Data Science/Machine Learning developer for an opportunity in Jersey City, NJ. Position Title: Data Science/Machine Learning developer.
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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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Title: Adult Education Teacher/Career CoachInstitution: Volunteer State Community CollegeJob Summary:This position will provide instruction for the Adult Basic Education (ABE) component of the Adult Education Program in compliance with the Tennessee Department of Labor and Workforce Development (TDWLD) Adult Education curriculum and will work with students to pursue post-secondary education or skilled employment.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.
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Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop. This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and cluster analysis.
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machine learning post secondary jobs Title: operations engineer
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