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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.
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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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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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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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The Machine Learning Engineer position is in Iron Mountain Digital Business Unit that provides a content services platform that provides actionable business insights and predictive analytics through cutting-edge Machine Learning (ML)-based technology, which adds structure, context and meta-data to make data more usable.
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Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
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THE PERSON: A computational scientist, physicist, or engineer with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an HPC setting.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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Analysis skills, including electrical device characterization, yield analysis, data mining, DOE, and SPC. JMP or Spotfire experience highly preferred. to ET while also understanding ET data effect on Parametric Yield.
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These tools range from simple data mappers to standalone analytical tools to perform various types of risk analyses (e.g., pipe rupture, fire/explosion, equipment reliability, etc.) This is a rare opportunity to enhance your skills in data modeling and programming for scientific and technically complex use cases.
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The Railroad Commission of Texas is a state agency with primary regulatory jurisdiction over the oil and natural gas industry; pipeline transport and pipeline safety; natural gas utilities; the LP-gas industry, and surface mining operations.
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The individual in this role will provide overall implementation and direction into Authentication, MFA and IAM functions across the organization, including areas such as mobile authentication, federation, policy creation and validation, access management, authentication and authorization, security, and provisioning identity data.
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Experience driving security, compliance, and disaster recovery in all aspects of a data platform Deep Experience with the following: Public cloud-native offerings (AWS, GCP, Azure) Kubernetes & Container-based hosting strategies SQL and NoSQL databases (Postgres, Cassandra, MongoDB, Neo4j, DynamoDB, etc.
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Experience with physical modeling, underwater acoustics, wave propagation, signal processing and/or sonar; detection, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience.
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You will collaborate closely with partners in editorial, product, sales, and implementation to inform the development of engaging digital learning experiences, considering the potential of generative AI. You will champion evidence-based teaching methods, envision equitable digital solutions, and continuously iterate and improve our products based on insights from data and user feedback.
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machine learning data mining jobs Company: General Motors in Texas
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