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You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position.
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Our Commitment to Diversity, Equity, and InclusionAt DREAM, diversity, equity, and inclusion are a matter of mission. The Youth Worker will lead a group of 18-20 students daily in activities including sports, social-emotional learning, enrichment, and academic support programming.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$209,800 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Excellent written and verbal communications skills, be comfortable presenting to large audiencesAdvanced degree (M.S., or Ph. D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields Experience with one of the cloud platforms AWS/GCP/AzureExperience with CI/CD tools like GitHub Actions, Jenkins etcHow We Get Things Done.
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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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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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We invested in new offices, sector teams and practice groups including investor engagement; shareholder activism; governance; regulatory and public affairs, including geopolitical; crisis; litigation; social issues including climate change and diversity, equity and inclusion; cybersecurity, data and privacy; employee engagement; digital communications; opinion research and analysis, and; creative services.
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Expertise in data engineering workflows, including constructing and maintaining ETL pipelines for machine learning tasks. Strong grounding in deep learning, classical machine learning techniques, and statistical analysis, with experience applying them to complex, large-scale datasets.
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At RBC, we embrace diversity and inclusion for innovation and growth. RBC Capital Markets seeks a Vice President, Global Research in New York, NY to support the global research department with researching and preparing reports for biotechnology companies.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
$96 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning capital one diversity and inclusion jobs in New York, NY
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