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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 2 days ago - UpvoteDownvoteShare Job
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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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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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PREFERRED QUALIFICATIONSAdvanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. The Bloomberg Quant Platform (BQuant) is the frontier of our work - a platform for quantitative finance professionals to rapidly analyze data and research trading strategies.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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Additionally, the role involves the development of data visualization, statistical/machine learning algorithms, and analytic pipeline/applications in R/Shiny. - Support the development of machine learning and other statistical models.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. You’re always learning new technologies and processes with tools and other training courses, conferences ADP offers, and operating with a “learn as you go” approach with a willingness to figure out new ways of doing things.
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This involves analyzing data to inform decisions and adapt strategies that enhance student learning and development. A key aspect of your position will be to encourage a data-driven approach for continuous improvement, provide guidance and mentorship to instructional staff to support their professional growth, and engage actively with families and the wider community to reinforce students' learning and the school's objectives.
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EVERSANA Data & Analytics team applies advanced analytics and AI/machine learning techniques to the breadth of healthcare and non-healthcare data integrated with our deep clinical expertise to provide a unique and unmatched suite of services and products to the pharmaceutical and healthcare industries.
$240,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc.
$140,000 - $307,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work collaboratively with experts from other fields ( e.g. , computational biology, molecular biology, medicinal chemistry, machine learning) to drive harmonized models with innovative features.
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machine learning jobs Title: sr data scientist Company: Wells Fargo Bank in Fort Lee, NJ
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