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Integrating innovative approaches in 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.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Experience with machine learning techniques (e.g., regression, decision trees, cluster analysis) using Python or other statistical programming packages such as R, SAS, Matlab. Skills for other programming, data mining tools such as SAS, R are nice to have.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Our proprietary software stack automates blockchain mining optimization, pushes machine images and firmware, and monitors all aspects of our operations, ensuring our customers receive the highest possible ROI on their hardware investment.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We are looking for a hands-on machine learning engineer who is passionate about crafting, developing, and deploying cutting edge AI/ML solutions which will impact millions of customers. Machine Learning Engineer, Customer Systems, Early Career.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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The Data Scientist will contribute to the Fraud Analytics unit’s efforts to develop and implement algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics to generate insights and actionable leads to identify and respond to risks of fraud, waste, and abuse.
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Google Professional Machine Learning Engineer. Data Engineering: data warehouse modernization (including technical architectures, star/snowflake schema designs, infrastructure components, ETL/ELT pipelines, and reporting/analytic tools), OLTP/OLAP data migrations, or backup, restore, and disaster recovery solutions.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Enterprise Cognitive Digital Assistant Services, and AI Service Desk. As an Enterprise ML Developer, we seek an expert in machine learning to help us extract value from our data. Proficiency in Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks for all sorts of data science tasks.
$74,800 - $178,200ExpandApply NowActive JobUpdated 5 days ago
machine learning data mining jobs Title: senior manager in Texas
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