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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-timeExpandUpdated 21 days ago - UpvoteDownvoteShare Job
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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. Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Possess direct experience and stay at the forefront of latest trends in machine learning, statistical test design, media mix modeling, artificial intelligence, and other data science fields.
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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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We are seeking a Senior Machine Learning Engineer to join DS&E. Candidates should possess robust knowledge and hands-on experience in end-to-end ML modeling, including design, development, deployment, monitoring, and maintenance, plus proficiency with cloud computing infrastructure, AWS in particular.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
$66,000 - $185,000Full-timeExpandUpdated 19 days ago - UpvoteDownvoteShare Job
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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning. Increasingly, we find ourselves conducting data analyses of rising complexity involving traditional statistical methods alongside techniques related to machine learning.
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Design, build, and maintain data pipelines from end-to-end, ensuring data accuracy, availability, and quality for the Production, Trust & Safety, and Business Analytics internal customersCollaborate closely with Data Scientists to understand data requirements, develop data models, and optimize data pipelines for advanced analytics and machine learning use cases.
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Hybrid, 3 daysExperience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or FoundryExperience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.
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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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Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives. QualificationsExperience with end-to-end Machine Learning Engineering lifecycle.
$66,000 - $185,000Full-timeExpandUpdated 19 days ago - UpvoteDownvoteShare Job
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5+ years of hands on experience with ML tools such as R, Python, Spark, SageMaker, TensorFlow, or similar- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
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8+ years experience demonstrating an established track record in Data Engineering and Machine Learning; experience with GPUs as well as expertise in tuning and analyzing Apache Spark workloads.
$176,000 - $333,500 a yearFull-timeExpandUpdated 15 days ago - UpvoteDownvoteShare Job
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You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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