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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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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 Today - UpvoteDownvoteShare Job
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) 2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Your Team & Role: As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Prior experience in delivering impact using statistical analysis, predictive modeling, and machine learning. Build predictive models using statistical and machine learning techniques used for classification and regression.
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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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Demonstrated experience in applying advanced analytics techniques, including predictive modeling, machine learning, regression analysis and/or A/B Testing, to solve complex business problems.
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Proficiency in scripting languages, such as Python or Java; Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform; Understanding of machine learning and natural language processing techniques; Experience with interfacing Knowledge Graphs with Large Language Models; Familiarity with data visualization tools and techniques.
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3+ years of experience in data science and machine learning with a strong focus in one of the following: advertising, recommendation systems, quantitative finance, or yield optimization.
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Using Machine Learning (ML) algorithms; and integrating data from various sources and internal data warehouses by creating standards and repeatable workflows using Snowflake, AWS and Oracle to process at scale.
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Using Machine Learning / Predictive Analytics to forecast user growth. Python, R, SQL, Excel are all must have skills. How would you like to become a Data Analytics Manager at a leading Digital Media company that is scaling quickly due to such high demand for their product.
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Deep experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
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machine learning python jobs Title: data in New York, NY
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