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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. Hands-on experience with DataBricks for building and optimizing data pipelines.
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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-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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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Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
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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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Ways to stand out from the crowd:Demonstrated expertise and hands-on experience with NVIDIA AI products for Machine Learning and Data Processing (RAPIDS and sparks-rapids.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You should have research experience in data analytics, machine learning and artificial intelligence in Macro trading paired with the working knowledge of standard Rates and FX Derivatives pricing and risk management models and applications.
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The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning models to manage the bank’s AML models and model systems.
$125,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on Experience with most of the following open-source solutions: oOrchestrate: Airflow, Kubeflow Pipelines, ML RunoContainer: Docker, Kubernetes, Mesos + MarathonoModel Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflowoObservability: Prometheus, Grafana, Elasticsearch Development: oProgramming Language: Java, Scala, Python, JuliaoMiddle Ware: Kafka, MQ, Rabbit MQ etc.
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O Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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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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We're a team of machine learning and product engineers training task-specific generative models with a focus on deep psychology. As Staff Machine Learning Engineer, you’ll conduct applied research projects involving deep learning models from start to finish.
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Snowflake or Databricks certifications and/or hands-on-keyboard experience. Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering.
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Pair is seeking a Digital Marketing Strategist, Paid Social to help drive and execute on our ongoing Meta, TikTok, and additional test channels. Use performance insights to inform creative strategy on longer-form video that can be used on OTT/CTV and even linear TV.
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