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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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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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Utilizing Databricks (for processing and transforming massive quantities of data and exploring the data through machine learning models) Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Collaborates, with Machine Learning engineers, data scientists and developers to integrate linguistic principles into development. As a Product Manager Natural Language Understanding & Linguistics Lead in the Machine Learning & Optimization team, you are an integral part of the group that optimizes product features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products.
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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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Data and research driven to assess curriculum impact, keep up with advances in instructional design and adult learning to implement learning solutions. The Sustainability Learning Specialist is a generalist with instructional design and instructional technology skills and developing social and environmental sustainability subject matter expertise.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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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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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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Experience with statistics/machine learning packages like TensorFlow, Pytorch, Scipy, Keras, Numpy, Pandas, or Spark MLlib. In this role, you'll be an elite technical resource that will drive client interest, and commitment, leveraging a curiosity that sparks innovation and learning.
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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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We are also currently recruiting candidates with expertise in datascience, machine learning, computational or systems biology, and/or bioinformatics, with interest in applyingcomputational methods in the context of infectious diseases and immunology.
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machine learning jobs Title: sr data scientist in Jersey City, NJ
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