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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
$80 - $90 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Familiarity with streaming data processing, real-time analytics, and machine learning pipelines. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
$9 - $11Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
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Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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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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SOME INDICATORS THAT YOU'D LOVE THIS JOB: - You wish that designing circuits felt more like writing Python code - Passion for building software to represent complex physical systems - Avid usage of - or contributions to - open-source scientific computing software - especially packages for hardware design, signal processing, and/or data analysis - An open mind about trying new things.
$170,700 - $300,200 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers.
$9 - $11ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Strong grasp of object-oriented programming (e.g. SOLID Principles)Experience using cloud computing for machine learning and deep-learning frameworks such as TensorFlow, PyTorch, KerasExperience in source management, code reviews, unit testing, and related modern software development methodologiesA distinguished publication record in NLP, Machine Learning, Computer Vision or related areas preferredAdvanced skills in data sourcing, cleaning, manipulating, analyzing, visualizing and modeling.
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Our team is working across the full stack of quantum computing, from quantum architecture to photonic chip manufacturing, advanced opto-electronic packaging, hardware systems design, quantum algorithms and software tools, and cryogenic cooling.
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