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Hands-on experience with Databricks, Snowflake and other Cloud platforms. + Identify relationships and trends, perform statistical analysis and implement machine learning algorithms for prediction, forecasting and classification.
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Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. Hands-on experience with production-grade machine learning solutions and/or software development.
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Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.
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2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis. Our success as a company is built on practicing inclusion and embracing diversity.
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Hands-on experience with building Deep Learning applications. Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams.
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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.
$229,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Extensive hands-on programming skills in Python with knowledge of SQL, Hadoop/Hive, Spark, and/or Scala a plus. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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1-3 years hands-on experience building predictive models, recommendation systems, or other machine learning/artificial intelligence applications to drive business impact. Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g. huggingface, pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
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Hands-on coding experience (varies by task) including Apache Hadoop, and Python. Support a range of activities and hands-on support for structured and unstructured data. Experience in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization.
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Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
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Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas.
$137,750 - $237,500 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands-on experience in building models for time-series, computer vision, and natural language processing is needed. Hands-on experience in building models for time-series, computer vision, and natural language processing is required.
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