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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Minimum 3 years of professional experience in an eLearning developer, learning content developer, multimedia learning developer, educational animator or something similar; must have current portfolio.
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The Director partners with various stakeholders, including Chicago Public Schools (CPS) and CCC Adult Education, to promote student engagement, retention, and success; oversees the effective delivery of bilingual learning programs and associated support services; and fosters an empowering learning environment for students.
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The Retention and Learning Specialist reports to the Assistant Dean of Student Affairs. Through a variety of intervention and support initiatives, the Retention and Learning Specialist collaborates with advising, faculty, student affairs and colleagues from the Marcella Niehoff School of Nursing and across the university.
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Contributions to open-source projects in the realm of data science and machine learning. Requirements:Proficiency in the inner workings of deep-learning frameworks such as PyTorch, JAX, TensorFlow, etc.
$175,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, build, and maintain advanced machine learning models for our recommendation systems, ensuring they are scalable, efficient, and impactful. Keep abreast of the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work.
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Curriculum Design: Define the scope, objectives, storyboard and outlines for training programs and learning paths to meet the learning needs of the sales team. JOB TITLE: Sales Enablement Learning Design Lead Instructional Designer.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. Senior Machine Learning Engineer (Python, Spark, MLOPS, Cloud) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
$165,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This position could involve the deployment of training/learning materials using a variety of authoring tools and deployment methodologies, participating in teams that scope projects to include ILT, WBT, and blended solutions; pilot coordination, implementation, and deployment of learning solutions, testing, solution packaging/publishing, learning management system support/administration, and technical troubleshooting.
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The Work-Based Learning Specialist (Middle School) will report to the Work-Based Learning Manager. The Work-Based Learning Specialist (Middle School) will be held accountable for the following responsibilities: Based on reported needs, develop and implement an annual plan with identified targets for student and teacher engagement Lead expansion of work-based learning across the district, including but not limited to Options Schools and for middle grade students in CPS elementary schools.
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Strongly skilled/expert in Python or R programming and familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.
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Responsibilities:Work collaboratively with Software Engineering, Data Engineering, and Machine Learning to deliver scalable and reliable MLOps pipelines into production. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
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As a Machine Learning Solutions Engineer, you will be focused on delivering, creating, and maintaining cutting-edge Machine Learning and Generative AI content. Machine Learning Solutions Engineer, Cloud Learning Services Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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Role Overview:As a Staff Machine Learning Engineer focusing on forecasting and optimization, you will design models to forecast offer performance and optimize offer structures. Proven experience with machine learning models for time-series forecasting, predictive analytics, and optimization.
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Title: machine learning Company: Software Engineering Institute Carnegie Mellon University in Chicago, IL
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