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Experience in Big Data technologies with hands-on experience using Hadoop, Kafka, Apache Spark. Design, build, manage and optimize cloud native distributed backend services, data pipelines and data storage solution using Spring Boot, Spark Streaming, Kafka, MongoDB, Cloud SQL, GCS, and Big Query while implementing data security and access controls.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience on Vertex AI and machine learning frameworks such as TensorFlow or PyTorch. Experience with Vertex AI and machine learning models and algorithms using PyTorch, TensorFlow or any other machine learning frameworks.
$120,750 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You will aid in the growth of our energy trading team, author thought leadership material, develop our “Go to Market” strategy, develop sales collateral and solution material to position EY in the market.
$388,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with digital signal processing, probability theory, stochastic signal processing and machine learning. Knowledge of Kalman filtering, CNN, Random Forest, Support Vector Machine, Adaptive Neural Networks, Belief Propagation, other machine learning algorithms.
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Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers., Autoencoders, ML-Ops processes. Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. 6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
$179,900 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Ideally 3+ years of hand-on experience in distributed processing using Databricks, Apache Python/Spark, Kafka & leveraging Airflow scheduler/executor framework. leverage Airflow to build complex branching Data Driven pipelines and leverage Databricks to build the spark layer of data pipelines.
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At least 2 years of hands-on experience with Azure, Databricks, and Hadoop distributed frameworks while handling large amounts of big data using Spark and Hadoop Ecosystems. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
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Proficiency in SQL, Python, R, Apache Spark or similar product or language is a plus. Mentor team members through observation of their work and develop learning plans to improve their abilities, skills and knowledge of the Alteryx platform, sales engineering strategies, and client facing skills.
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Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL. Technology|Analytics - Packages|Python - Big Data, Technology|Big Data - Data Processing|Spark, Technology|Cloud Integration|Azure Data Factory (ADF.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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Proven experience developing and deploying machine learning models in production environments using Azure cloud services (e.g., Azure Machine Learning, Azure Databricks, Azure Kubernetes Service.
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10 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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Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently.
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