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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Intermediate or expert in one or more of image processing algorithms, machine learning, data mining, pattern matching and parallel processing using high performance computing paradigms such as GPGPU. Able to extend and improve existing algorithms to improve facial, speech, vision and gesture recognition technologies for better accuracy, robustness and ease of use.
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Rockstar Games is on the lookout for a passionate Machine Learning Engineer with strong software development skills who possess es a passion for both games and big data. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications.
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Advanced degree with 3+ 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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Reporting to the Associate Director, Insights & External Research , this new role requires a blend of hands-on data & insight mining and critical thinking. Strong candidates have non-profit or for-profit client-side, agency/vendor, academic or corporate research experience with a track record of executing and analyzing complex surveys and data sets (drafting/testing/programming surveys, cleaning data for abnormalities, and mining data for insights.
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Advanced degree preferred with 0~2 years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
$117,300 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Integrating innovative approaches to individual and team work products such as machine learning, artificial intelligence, data mining, predictive modeling, neural networks and simulation to mitigate price/value leakage across the pursuit and delivery phases of an engagement.
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The candidate will have the opportunity work on a wide range of use cases from simple customer facing data APIs to large scale machine learning models. Strong experience with scalable data processing engines: e.g. BigQuery, Presto, Snowflake, Spark etc.
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A Glimpse into the Daily Routine of a Machine Learning Engineer. 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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Senior Machine Learning Engineer. You will implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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Implement machine learning models and deploy them on Databricks for predictive analytics. Implemented robust data quality checks, error handling, and validation mechanisms to uphold data integrity and reliability standards.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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5+ years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection. Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment.
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