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Data science, machine learning, optimization models, Master's degree 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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Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering. Experience working with modern ML systems such as NLP, reinforcement learning, and neural networks.
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The candidate will have the opportunity work on a wide range of use cases from simple customer facing data APIs to large scale machine learning models. Strong analytical background with an expert knowledge of ML and Deep Learning packages.
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Join a pioneering biotech company that is transforming the landscape of antibody drug discovery through cutting-edge machine learning and synthetic biology. Machine Learning Engineer.
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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
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In the subject line of the email please include: First and Last Name ( Machine Learning Engineer w GCP ) Machine Learning Engineer w GCP. Help innovate standardize machine learning development practices.
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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.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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The Learning Specialist works across all classrooms in the school to provide targeted small group and one on one instruction both in and out of the classroom setting. The Learning Specialist engages fully in our professional development program, including instructional coaching, professional inquiry, and collaborative projects and committees.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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The AP Precalculus Course Lead is a member of the Mathematics and Computer Science department and works collaboratively with experts in the department and across all STEM subjects to improve curriculum, instruction, and assessment for all mathematics and computer science courses.
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Broad exposure to modern techniques and equipment used to explore biological concepts (e.g. next generation sequencing techniques, CRISPR Cas systems for genetic engineering, machine learning for protein predictions, etc.
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A minimum of 2 years of post-undergraduate experience in the fields of sequence analysis, genomics, transcriptomics, bioinformatics, machine learning, algorithm development, molecular biology, sequencing or related computational biology/bioinformatics areas.
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For over 30 years, we’ve provided consulting talent for every element of learning and talent development including Needs Assessments, Learning Strategy & Planning, Instructional Design & eLearning Development, Training Facilitation & Delivery, Learning Technology Strategy & Support, Organizational Development & Change Management.
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Solid understanding of machine learning life cycle, data mining, and ETL techniques. 3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes.
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machine learning applied mathematics jobs Title: postdoctoral in Brooklyn, NY
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