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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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Experience with VFDs, PLCs, CNC machine controls (Fanuc, Mapps, Heidenhain) Experience with Doosan, DMU, Ibarmia, Toyoda, Mori Seiki CNC machines Ability to use test equipment (multimeters, oscilloscopes, megameter, ampmeter) Experience with metal fabrication, welding, brazing, lathe/mill work, drill press Perks And Benefits International Opportunities Global adventure, broad exposure, and limitless learning await you.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. 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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Preference is for candidates with experience with common open source scientific computing/machine learning libraries including: scipy, pandas, statsmodel, OpenCV, XGBoost, PyTorch / TensorFlow.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Technologies: Dynamics 365, Common Data Model, Microsoft 365, Microsoft PowerApps, Microsoft Flow, Microsoft Azure, PowerBI, Azure IoT Suite, Azure Machine Learning, Artificial Intelligence.
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Design, develop, and implement machine learning models, focusing on Model Deployment, MLOps processes, Model monitoring, Data and Model drift detection. Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.
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We have created software to help college students in three of those subjects read with more engagement and practice more effectively, incorporating our research team’s expertise in cognitive science and machine learning.
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Serve as the top technical expert in deploying, upgrading, troubleshooting Artificial Intelligence/Machine Learning/High Performance Compute Solutions platforms. Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning. Develop and maintain computational methods using deep learning for pathological image processing.
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Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data. Within LSEG, the Power, Natural Gas, Coal, and Carbon Research division (formerly known as Point Carbon, Thomson Reuters, and Refinitiv) has a strong presence in the commodity community.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence.
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Digital technologies may include, and not limited to, Artificial Intelligence/Machine Learning/Data Science, Robotics, AutoBots, IoT, Big Data, Blockchain, Augmented Reality/Virtual Reality, Social Media/Collaboration, and Mobility.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
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Our specialized HPC and digital technologies support our advanced and secure cloud-based workflows, expert geoscience data transformation and AI, machine learning and data science services.
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machine learning jobs Title: expert Company: Apple Inc in Houston, TX
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