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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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4+ years of experience in open source frameworks. 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Unconventional is seeking a Open-Source Intelligence Analyst - SME to join our Global Open-SourceNetwork. Provide analysis and assessments of commercially available and open-source data, with a specific focus on the geospatial domain, to deliver actional intelligence reports.
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Robotic Simulation with ROS, RVIZ, Unreal Engine, Unity, and Gazebo Machine Learning (ML) and Computer Vision (CV) Open-Source Frameworks Linux - As a user at least, but also administration and kernel development Distributed computing and inter-process communication (IPC) mechanisms RTOS for mission-critical applications Agile and Hybrid-Agile design methodologies Embedded Development in C/C.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. We're looking for an enthusiastic and experienced Machine Learning Engineer to help us use AI to build impactful developer productivity tools for engineers across Block.
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This isn't analyst work; you'll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment. From day one, you ' ll be empowered and equipped to do the best work of your life.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Machine Learning Engineer. We are specifically looking for people with a background in science and 5-8+ years of experience in taking ML techniques described in literature or in open source and applying those techniques to build custom ML solutions.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners. The Adobe Experience Platform handles petabytes of data on behalf of organizations allowing them to have a centralized and standardized data platform applying data science and machine learning (ML) to spectacularly improve the design and delivery of rich, personalized experiences.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions. 6+ years of experience in machine learning, data analysis, or a related field.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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