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Strong software development skills in languages such as Python and familiarity with machine learning libraries such as Scikit, Tensorflow, Pytorch, Keras. We primarily employ various techniques from operations research to classical machine learning, deep learning, reinforcement learning, causal inference and statistics.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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They leverage deep learning and machine learning techniques to train AI models on large datasets, enabling these models to generate original content that mimics human creativity. Leverage deep learning and machine learning techniques to train AI models on large datasets, enabling these models to generate new, original content that mimics human-like creativity.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AI, Machine Learning, Deep Learning. Products/Vendors: Active Directory (AzureAD/AD), Okta, Ping, Azure AD, SailPoint, BeyondTrust, Siteminder Single Sign-On; Multi-Factor Authentication (MFA) Identity Federation, SSO, HCM (e.g., SAP, Workday) and IAM Data Integration PAM, IGA.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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The ideal candidate should possess a deep understanding of machine learning technologies and frameworks, as well as hands-on experience with various tools and technologies, such as Kubernetes, GitLab, CI/CD, Kubeflow, ML Flow, Kubernetes Operators, Knifi, Airflow, and K-Serving.
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Advanced understanding of modern Deep Learning workload characteristics. Our team is currently developing cutting-edge technologies, including a cross-platform Inference Engine leveraging Metal and CUDA, Swift packages for end-to-end inference pipelines, a Python toolkit for model compression and inference efficiency, and fostering a vibrant developer community.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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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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Machine Learning | Deep Learning | Market Research | Technology | Advertising | Adtech | Artificial Intelligence | Deployment | Production | Startup | AI | Artificial Intelligence | Recommendation Engine | Recommender System | AWS | Azure | GCP | Google Cloud | Python | Personalization Engine.
$200,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning. Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.
$118,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Manager, Data Science - Fraud, Deep Learning. 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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O Oversee the development of AI models leveraging machine learning, deep learning, and NLP techniques. Is proficient in programming languages like Python, R, and Java. o Partner with data engineering teams to ensure high-quality, well-governed data for AI projects.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Node.js, TypeScript, Next.js, Machine Learning, AI, ML, NLP, Deep Learning, Python, PyTorch. Solid Python experience. Node.js, TypeScript, Next.js, Machine Learning, AI, ML, NLP, Deep Learning, Python, PyTorch.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The ideal candidate should have a deep understanding of quantitative analysis, financial modeling, and proficiency in Python programming and Machine learning. In this role, you will play a key part in developing and implementing quantitative models, conducting data analysis and develop, test, and maintain high-performance applications using the Python.
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Working knowledge of deep learning models and development frameworks such as Tensorflow or Pytorch. Unlike a traditional internship, the Data Science Internship in Peacock embeds future data scientists in ongoing projects within the organization.
InternExpandApply NowActive JobUpdated 2 months ago
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