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Data science, machine learning, optimization models, 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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Basic Qualifications: 6-9+ years relevant experience and Bachelor’s or Master’s Degree in Electrical Engineering, Computer Engineering, Applied Mathematics, Computer Science, Physics, or related field.
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The Machine Learning Engineer III will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications.
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Bachelor’s degree in computer science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and.
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We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. 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.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer. Senior Software Engineer, DevOps. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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Overview The Junior Cyclotron-Support Engineer I is a training position with dual responsibilities to the Cyclotron-Support Engineer duties and the Network Operations Group within a SOFIE radiopharmacy.
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As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets.
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Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Similar Jobs (10) Manager, Software Engineering, iOS locations McLean, VA time type Full time posted on Posted 4 Days Ago Manager, Software Engineering, Full Stack locations 2 Locations time type Full time posted on Posted 11 Days Ago Manager, Front-End Software Engineer - Capital One Software - (Remote) locations 2 Locations time type Full time posted on Posted 4 Days Ago.
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Center 3 (19075), United States of America, McLean, VirginiaSr. Director, Software Engineering - SRE. Capital One is seeking a Senior Director of Software Engineering to lead, manage, mentor, and build extremely talented software engineering teams to deliver game changing technologies.
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We are a diverse team of highly qualified RF systems engineers and mission subject matter experts (SMEs) with backgrounds in electrical, mechanical, RF, hardware, software, firmware and systems engineering, working together within a creative, innovative and highly collaborative culture, to deliver cutting edge solutions for our customers.
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