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Bachelor's degree in Computer Science, Electrical Engineering, Computational Linguistics, or a related field. Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Deep Learning and Computer vision.
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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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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. · Establish and set up model life cycle management with tools like MLFlow , etc · Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions · Deployment utilizing containerization solutions like Docker and Kubernetes · Experience with AWS cloud services and running Apache Spark applications.
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Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS)What could set you apart:Bachelor's or Master's degree in computer science, engineering, or a related field. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions. Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Deep knowledge of cloud infrastructure, automation, and Infrastructure as Code (IaC) tools such as Terraform and Ansible. Eagle Eye Networks is seeking a Site Reliability Engineering (SRE) Manager to lead our SRE team in maintaining and enhancing the reliability, scalability, and performance of the world’s largest cloud video surveillance platform.
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Experience working with k-12 science curriculum, instruction, or assessment in an online learning management system, such as Canvas LMS. Educator certification in multiple subject areas.
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Required QualificationsPhD in Electrical Engineering, Computer Engineering, Aerospace Engineering, Computer Science, Math, Physics, or related disciplineDemonstrated record of authoring peer-reviewed scientific publicationsDemonstrated record of presenting scientific content to technical and non-technical audiencesApplicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time.
$165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
$118,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree in computer science, Computer Information Systems, or Management Information Systems. The ideal candidate is willing to work in the Microsoft based legacy technology and passionate about learning new technology and tools to create innovative applications used by our internal and external users.
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Minimum 10 years of experience in Oracle ERP implementation and consulting, with a strong focus on Oracle Cloud ERP Supply Planning, Demand Planning, Global Order Promising, Sales and Operations Planning, and related modules.
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As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers.
$229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working across industry sectors, we bring deep experience in data science, AI, modeling, and Model Risk Management. You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated Today
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