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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Requires three (3) years of experience in: (1) data analysis with Python and Python machine learning packages; (2) creating analytics tools to visualize KPIs in relation to equipment and process engineering; (3) MS Excel Macros and Pivot tables; (4) SQL, Tableau, and Spotfire; (5) knowledge of semiconductor process.
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You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. Collect, explore, and prepare data for advanced analytics and machine learning.
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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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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.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience using statistical analysis, machine learning algorithms, deep learning, large language models, NLP, image recognition and predictive modeling. Experience applying statistical or machine learning algorithms, econometrics, and/or predictive modeling.
$55 - $90 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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As part of the Data Engineering team, the Lead Python Web Developer will work closely with Business domain experts and Data Engineers to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
RemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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machine learning predictive modeling analytics data science computer engineering jobs Company: Inc in Houston, TX
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