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Familiarity with Docker, Git, ML development toolkits (e.g. PyTorch)Familiarity with training and adapting Machine Learning models, and familiarity with the Huggingface ecosystem and Transformer family of models.
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We are the leading manufacturer and distributor of telecommunications conduit, cable-in-conduit and other high-density polyethylene (HDPE) and connectivity infrastructure solutions that serve telecommunications, transportation and network electrical markets.
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Transformer Customization: Customize transformer-based architectures to specific domains and tasks, leveraging techniques like knowledge distillation, architecture pruning, and dynamic attention mechanisms to enhance efficiency and performance.
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A master or Ph. D. is highly preferred 5+ years of industrial experience (relevant research experience for master/Ph. D. may be counted as industrial experience) Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.
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Are you ready to be a transformer? Work with stakeholders to develop and deploy custom applications using Microsoft PowerApps, Power Automate, and SharePoint. Minimum of 9 years of experience in Microsoft PowerApps/PowerPlatform administration and development.
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Run low voltage cabling in commercial buildings, including drilling concrete walls and limited conduit work. Experience in conduit installation is a plus. Install, repair, or upgrade fire alarm systems and program control panels for fire alarm systems with the guidance of building plans and electrical layouts.
$20 - $40 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
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Services Executives within our Not-for-Profit Professional Services organization are the key conduit between the dynamic Professional Services organization and the burgeoning Field Sales organization.
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Possess experience in the study, technical knowledge, and design expertise of electrical distribution systems and industrial controls for a broad range of industries, with a heavy emphasis on utility substations Possess knowledge in the design of medium and high voltage power distribution and transmission, including load flow, short circuit and grounding studies, transformer sizing and cable sizing.
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Knowledge of fire alarm panels definitely required Experience in CCTV, voice, and data cabling is a requirement. Installation, troubleshooting, and maintenance of various fire alarm systems infrastructure.
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Responsible for performing power system studies and system protection settings coordination on various projects (up to 500-kV voltage level) including short circuit calculation, current transformer performance and ratio selection, over-current element coordination, zone-distance element selection and coordination, and relay loadability calculation.
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Cross-Organizational Leadership - Serve as a conduit of the VPF/CFO developing deep knowledge of FAD's business. Manage the teams responsible for the financial planning, analysis, management, and reporting for FAD's $40M budget, providing leadership support for the oversight of key financial processes and deliverables including the core annual budget, multi-year financial planning (MYFP), quarterly reporting & year-end close.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc.
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Perform substation grounding calculations and studies, lightning protection and insulation coordination, lighting, bus calculations, transformer and bus sizing calculations, fault calculations, and AC and DC auxiliary system sizing calculations.
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Deep understanding of Machine Learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML, and security fundamentals.
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conduit transformer jobs in West Roxbury, MA
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