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Lead the development and implementation of advanced machine learning algorithms to analyze large datasets in the wellness and fitness domain. As a leading HealthTech company based in Boston, our client develops innovative tools for programming living cells, combining mammalian synthetic biology, computer-aided design, and machine learning to improve the creation and production of biologics and gene therapies.
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Who we are looking forThis is a very exciting opportunity for talented engineers seeking to be part of highly visible and advance compliance technology group working in cloud environment with databricks, Machine learning and niche vendor products.
$75,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. You will also directly impact our key success metrics via building machine learning solutions and risk detection rule development and deployment.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Technical knowledge Offshore Wind Turbine technology (direct or geared), as well as. Onshore Wind Turbine technology knowledge would be. Opportunity to join a leading global offshore wind developer on their most advanced US project as a WTG Package Manager.
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TheDirector, Information Technology (IT) Systems will collaborate with the VP, IT to provide the strategic framework for validation, management, and support of GxP-regulated systems and implement against the strategy in collaboration with stakeholders.
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Our program has demonstrated strong impact in terms of high school graduation, matriculation into post-secondary education and careers, and strong Social Emotional Learning and Identity Development.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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We combine consulting and engineering with advanced analytics and technology to solve the world’s most complex challenges. Valid Driver’s License with an acceptable driving record Proficiency in hydrology and hydraulics programs, Microsoft Office (Word, Excel, Project) programs Knowledge of ArcGIS, InfoWater, SWMM, HEC-HMS, and HEC-RAS is preferred Experience using MIKE URBAN and/or MIKE+ software Strong communication, report writing, organization, analytical and interpersonal skills.
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Masters or Bachelor's degree in Computer Science or related field Masters with 5+ or Bachelors with 8+ years of experience in Information Technology Experience working on enterprise application architecture and development.
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Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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Extracts and analyzes complex information from large structured and unstructured datasets using data mining and data modeling, NLP, and Machine Learning (ML). Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, Mathematics, Physics, or a closely related field and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.
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Advanced Manufacturing Engineering Manager. Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) 5+ years of technical skills, preferably experience in manufacturing engineering roles for complex electro-mechanical product industrialization at scale, including machined, sheet metal, injection molded, PCBA, linear motors, LCD, cables, and plastic components.
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You'll be part of a team on the cutting edge of iOS build engineering contributing heavily to open source Bazel projects, participating in the Bazel iOS community, and ensuring tooling works seamlessly across CI and developers’ local environments.
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