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Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc. Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
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Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Integer quantization experience starting from Tensorflow or Pytorch machine learning models. Support computer vision and machine learning development for integration with experimental data and the Nuclear Research Data Storage science gateway.
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Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects. Promote and facilitate learning and development needs of team.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Nave Bayes, Neural Networks, regression, image processing, natural language processing.
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Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow. Continuous learning mindset to keep up with the evolving data engineering landscape.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) Expertise in open source data science technologies such as Python, R, Spark, SQL.
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Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership.
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Monitor machine learning models and AI performance and troubleshoot issues as they arise. Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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