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Stay up-to-date with the latest developments in big data technologies and machine learning techniques. Implement real-time data processing solutions using big data technologies (e.g., Apache Spark, Hadoop.
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Understanding of Machine learning, data modeling and perform advanced analytics. 3 - 5 years' experience working with the following: Senior level expertise in at least one of the following (in order of desirability): F5 (SSLO, ASM, ATM), McAfee Web Gateway, McAfee DLP, FireEye (NX/VX/CM.
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Job Description: Data Engineer. Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services. End to End testing, deployment, Product support and Defect fixes.
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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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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. We are a multidisciplinary team with expertise in machine learning, data engineering, and software development.
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The App Dev team is hiring a Principal Software Engineer to help build the v1 of SaaS-ified Data API and reusable custom business logic to build Trans-analytics applications in Microsoft Fabric.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
$200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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In addition, the products you lead will provide the abstraction layer for Software Engineers on the cloud performing data analysis and implementing Machine Learning and Artificial Intelligence capabilities.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs.
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Senior Data Engineer , you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics, business intelligence, and machine learning initiatives.
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Strong technical skills and expertise in cloud platforms (AWS, Azure), data warehousing, ETL processes, data engineering tools, data governance, and machine learning technologies.
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