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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.
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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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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Design, develop and implement various process improvement tools and techniques including Workflow, Robotic Process Automation (RPA), Optical Character Recognition (OCR), Natural Language Processing and (NLP), Machine Learning (ML) to meet end-to-end business requirements.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms.
$137,500 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ability to use In-memory capabilities of Tibco Spotfire, Spark as well as rich Machine Learning applications with easy to use Data visualization of Models using built in TERR (Tibco Runtime R engine) and Revolution R/R Studio.
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Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques. Strong Programming skills e.g. R, Python, SAS, SQL or other languages.
$88,800 - $150,100 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience using analytics/ML tools such as Python, R, Spark, BigQuery SQL, or Snowflake. Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies.
$210,000 - $310,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of data modeling, dimensional modeling, data quality, and metadata managementProficiency in programming languages (e.g., Python, R), data analytics tools (e.g., SQL, Tableau), and machine learning frameworks (e.g., TensorFlow, PyTorch.
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Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R, and Python) along with applied mathematics, ML, and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks.
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Technical Expertise: Proficiency in AI and machine learning techniques, including natural language processing, image recognition, predictive modeling, and data mining. Experience with programming languages such as Python, R, and familiarity with relevant libraries (e.g., TensorFlow, Keras, scikit-learn) is desirable.
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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Proficiency in AI and machine learning concepts, programming languages (such as Python, Java, R), and AI frameworks (like TensorFlow, PyTorch). Position Summary – As an Artificial Intelligence Specialist you will employ a wide range of AI techniques, to include deep learning and machine learning, multi-agent systems, expert systems, and mixed-initiative human-machine teaming to enable outstanding intelligent collection and the exploitation of data from our collection systems.
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