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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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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.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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Workday Integration Engineer Requirements: Education Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience). Workday Integration Engineer Direct Hire or Contract to Hire Remote – EST Our client in the healthcare industry has an immediate direct hire role available for a Workday Integration Engineer.
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As a Senior Machine Learning Engineer, you will lead the development and implementation of sophisticated data engineering solutions to support the deployment and optimization of AI models.
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Tools and methodologies used by the Avionics Engineer includes Model Based System Engineering, laboratory analysis hardware, software development environments, and Agile methodologies. Specifically, the Avionics Engineer develops integrated system-level designs, and hardware and software subsystems designs.
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Minimum of eight years of experience using a nationally recognized electrical analysis computer software such as SKM Power Tools software (or equivalent), and demonstrable experience in short circuit and arc flash hazard energy calculations using the software.
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SummaryAs a Lead Machine Learning Engineer, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence that will drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio.
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Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, Certified Kubernetes Administrator) are a plus. Bachelor's degree in Computer Science, Information Technology, or a related field.
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Proficient in building and deploying web applications using Streamlit, Flask, and FastAPI. Familiarity with the deployment of scalable machine learning models in a production environment.
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With a unique interdisciplinary team composed of physicists, engineers, mathematicians, technicians, and computer scientists, RITQ has numerous active research efforts in quantum.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Educational Level: A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and Five (5) years of progressive, responsible experience in the field of data processing, computer systems, and applications.
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machine learning software engineer a plus computer science jobs Title: research engineer in Atlanta, GA
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