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Qualifications Required: High school diploma or equivalent 2+ year of experience in machine shop setting including CNC programming and operation Fabrication / building experience working with hand and power tools Familiarity with basic PC office applications Preferred Certificate or higher in manufacturing technology or equivalent Proficiency with 3D CAD modeling software Additional Information Sponsorship: Indefinite U.S. work authorized individuals only.
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Develop and refine AI models for demand forecasting using a mix of statistical, machine learning, and deep learning methods. As a Data Scientist at Global Partners, you will play a crucial role in owning development of Data Science and Machine Learning models from our vast data sources and contributing to data-driven decision-making.
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Use hands to frequently/continuously handle currency (paper and coin) as well as operate a variety of equipment such as cash register, lottery machine, scanner, computer, and calculator. Follow Anti-Money Laundering guidelines while processing Western Union, Money Orders, Prepaid Cards and Check Cashing.
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KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing.
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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, and human data collection in laboratory and field environments.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Demonstrated technical depth in one or more of the following areas: machine learning (including deep learning and reinforcement learning), large language models, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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Notifies Dispatch or Route Manager of issues as prescribed by Service Machine protocol, including blocked containers, potential missed pick-ups or problems that arise on the route. WM has the largest disposal network and collection fleet in North America, is the largest recycler of post-consumer materials and is the leader in beneficial reuse of landfill gas, with a growing network of renewable natural gas plants and the most gas-to-electricity plants in North America.
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We have a full suite of equipment for in-house prototyping, including a CNC machine, laser cutter, Bridgeport mill, lathe, electronic workstations, and 3D printers. Ideal candidates are interested in continuous learning and development, not only in design engineering but in all of the other aspects of bringing a product from idea to commercial launch.
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Strong understanding of CNC programming and the ability to edit programs on the machine. - Troubleshooting: Identify and resolve issues related to machine operation, tooling, and part quality, making adjustments as needed to maintain production efficiency.
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The job: Provide customers with maintenance, repair, and installation assistance for CNC machine tools on-site or by telephone. They hope to find experience in electrical and mechanical troubleshooting and maintenance of CNC machine tools.
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Ability to operate equipment in a safe and controlled manner, i.e., box erector, tape machine, Taylor Dunn, pallet jack and walkie-rider. Full Time Monday - Friday - Material Handler - 2nd Shift.
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Earned PhD in computational biology/medicinal chemistry or related field with expertise in machine learning, biochemistry, and molecular modeling. High proficiency in molecular modeling (chemoinformatics, molecular dynamics and CADD softwares) and machine learning (Deep Learning, Graph Embeddings, Reinforcement and Transfer Learning) and algorithmic analysis of data.
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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Support the introduction and optimization of Gen AI usage in Talent Acquisition with a deep understanding of large language models, machine learning, data optimization, and statistics. Familiarity with technology infrastructure and technology stacks (Optional additional detail) Experience with data-centric programming languages (e.g. R, Python), data visualization tools (e.g. ggplot, Tableau, R Shiny), database and data manipulation tools and infrastructures (e.g. SQL, Snowflake, Databricks, DBT), and software engineering tools (e.g. git / version control.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
machine job Title: learning Company: Dice in Bedford, MA
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