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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
$135,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master’s degree 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)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. As a Data Scientist, you will play a key role in developing and deploying advanced machine learning models and algorithms to extract insights from large datasets and drive business value.
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Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera.
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Build strong collaboration between Data Science, Machine Learning, and Data Engineering. We are looking for a Data Science Manager for our Growth and Marketing teams in our Data Science, Analytics organization.
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Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
$70 - $90 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Amazon is looking for a passionate, talented, and inventive Data Scientist with a strong machine learning background to help build industry-leading language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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MSc/PhD in Economics, Statistics, Machine learning, or equivalent industry/academic experience. Experience in causal inference and machine learning. 2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments.
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Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. Your work will be supported by massive data from our autonomous fleet to deliver the best autonomous driving solution.
$220,000 - $370,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
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Ability to consult/advise customers on data architecture, MDM, data migration, data lake, data lake house, data governance, visualisation and analytics etc.
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Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark. Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
$250Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
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