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The Associate Manager, Global Learning & Development is accountable for implementing our world-class learning and development opportunities for KFC corporate employees around the world. The Associate Manager, Global Learning & Development will report to the Senior Manager, Global Learning and Development.
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Serves as a representative to NSU Experiential Education and Learning Advising Council. Develops learning outcomes and appropriate assessment methods to improve programmatic efforts and learning opportunities.
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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Reports To:Center Director and/or Assistant Center DirectorResponsible For Supervising:Children under their care, and as assigned in their classroomBackground Clearance Requirements:Department of Justice (DOJ)Federal Bureau of Investigation (FBI)Child Abuse Central Index (CACI)BIG PICTURE RESPONSIBILITIES:Be responsible for creating a safe, nurturing, and engaging learning environment for our little learners.
$18 - $21 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Learning & Development Manager plays a pivotal role within the Training Department, spearheading the design, implementation, and execution of comprehensive training programs aimed at enhancing the skills and competencies of the organization's team members.
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What you'll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Deep Learning, Red Hat OpenShift, Tensorflow. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
$97,258 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. and exciting projects with new opportunities and learning.
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As a key member of our interdisciplinary team, which includes Product Managers, UX Designers, Data Scientists, and Machine Learning Engineers, you will play a crucial role in bringing our GenAI projects from concept to reality, ensuring they are not only technologically advanced but also user-friendly and impactful.
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We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Demonstrated interest and experience in supporting youth development and social emotional learning in cross cultural settings. The Expeditionary Learning Manager fulfills their responsibilities in accord with the UWC mission and values as well as the school's strategic plan, foundational documents, IBDP authorization, ISAS accreditation and best practices in teaching and learning.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes). Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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learning job Title: registered nurse Company: Compunnel in Columbia, Missouri
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