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Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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As Learning and Development Manager, you will be accountable for shaping the client experience by providing exceptional service in support of our world-renowned hotel. As Learning and Development Manager, you will be part of a team that prides itself on excellent service, driving inclusion & belonging, working collaboratively, demonstrating mutual respect and having a passion for providing exceptional client experiences.
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Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group. Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT) New York State Licensed X-Ray Technologist by the Department of Health.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
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Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models including deep learning architectures on big data platforms. Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network – CNN and RNN, Clustering, Recommendation) as well as design and tuning.
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Requirements:Currently enrolled in PhD program Demonstrated expertise in publications in Machine Learning / Computer Vision / Computer GraphicsExperience with deep learning frameworks such as PyTorchExposure to digital human representations, such as SMPL or FLAMEFamiliarity with 3D Computer VisionFamiliarity with Neural Rendering methods such as Gaussian Splatting, NeRFs etc.
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The successful candidates will contribute to the drug discovery effort as well as the development of novel therapeutics across several areas based on a strong interdisciplinary background, as our interests range from genome editing, bioengineering for scalable micro-tissue production, to machine learning approach for the analysis of high content phenotypic screens.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, Google Cloud Platform & Airflow will be preferred.
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B.Tech, M.Tech, MS, or PHD in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, pick packer, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, pick packer and maintenance mechanics.
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machine learning jobs Title: store manager Company: Staples Inc in Newark, NJ
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