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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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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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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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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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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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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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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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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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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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Evaluate and recommend AI technologies, focusing on OCR, NLP, LLM and machine learning. Expertise in OCR, NLP, LLM and other machine learning techniques. BigRio is a Digital Transformation consulting firm headquartered in Boston, MA, specializing in data and analytics, custom development, software implementation, data analytics, and machine learning/AI integrations.
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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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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data.
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Statistical Background : Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data. including PJM, ERCOT, NYISO, ISONE, CAISO, MISO, and SPP) and will work very closely with existing US-based Research teams in Carbon and Natural Gas, as well as our Oslo-based Power Research team.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands-on experience with any of the following data orchestration stack, ingestion frameworks, cloud-native patterns: Apache Airflow, Kafka, Nomad/Terraform, Kubernetes/Docker, etc.
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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.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: learning architect Company: Iqvia in Houston, TX
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