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Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred.
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Machine Learning Engineer. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Ability to rapidly develop data engineering solutions to support ML application development.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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L Intelligence or Machine Learning, Autonomous Systems, Clean Te. Knowledge of the venture capital ecosystem, including industry-standard research and development and product development approaches.
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As the Lead Machine Learning engineer, you will be responsible providing technical guidance and mentorship to team members to ensure the development of their skills. As the Lead Machine Learning engineer, you will be responsible providing technical guidance and mentorship to team members to ensure the development of their skills.
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Are you a machine learning (ML) engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? This posting will close within 90 days from the Posting Date. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
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We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal sensor fusion.
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Are you an experienced Machine Learning Engineer with a strong background in Python development for the consulting world? This company is a US-based consulting firm that has enjoyed stable, steady growth over the last two decades and earned multiple workplace awards due to their top-notch team and people-first mindset.
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Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Monthly social events are planned virtually and in the DC area while our First Year Experience (FYE) group concentrates on creating a smooth transition for all new employees entering the working force for the first time.
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1) Applying advanced technical or policy knowledge in Artificial Intelligence or Machine Learning (AI/ML). Serve as a first level supervisor, providing planning, directing, organizing, and exercising control over nonsupervisory employees within Artificial Intelligence and Digital Experience.
$163,964 - $191,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Applying advanced technical or policy knowledge in Artificial Intelligence or Machine Learning (AI/ML). Provide cutting-edge digital services to the agency including but not limited to, product and platform management, agile application development, robust enterprise cloud services, advanced data analytics, and visualization capabilities.
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Strong technical background in artificial intelligence, machine learning, data science, or related fields. Play a central role in proactively driving business development initiatives aimed at expanding Bixal's presence and impact across key areas such as technology, data, human-experience design, digital communications, and organizational development and learning.
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The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
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As a machine learning engineer on our AI Transformation team, you'll train, test, deploy, and maintain models that learn from data. As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets.
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