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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Work in wet or humid conditions (non-weather)Notes:In addition to Broom Machine, additional machinery used includes forklift, electric drill, MIG welder, former, rollers. Using our 200,000 square foot state-of-the-art manufacturing facility and high volume purchasing, ODB offers the highest quality street sweeper brushes, brooms, and replacement parts at competitive prices.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Equipment Used to Perform JobAll kitchen equipment including: Cash register, fryers, ovens, stoves, grills, toasters, can opener, griddle, slicer, refrigerated food prep case, thermometers, knives, dishwasher, ice machine, coffee maker, scales, pop machine, telephone, Point of Sale system.
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Skill in the operation of carpentry shop tools and other fabrication equipment, as well as the safety precautions and practices associated with them, such as CNC machine routers, jigsaws, handsaws, crosscut saw, panel saws, planers, construction, and joiners.
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Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. Experience with video editing, motion design, and designing for AR/VR are pluses.
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7+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Demonstrated ability to work cooperatively with the Head Start Education Manager and Head Start Instructional Specialist, building administrators and other preschool programs within CCPS. Demonstrated ability to develop instructional goals; to design and deliver instruction and to assess students’ learning.
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Key-skills and interests: machine and process control, information solutions, database development, operational efficiency, mechatronics. Learning new technologies. HMI Platforms: Rockwell / Allen-Bradley, Wonderware, Schneider Electric, etc.
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Further, it is expected that the SLED Account Manager holds working knowledge within the IT and Audio Visual infrastructure space, with particular focus on interactive hardware, software and collaboration tools utilized in learning spaces.
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The School of Education is a community of 978 students who are taught and mentored by 132 full-time faculty and 412 staff members across - Counseling and Special Education, Educational Leadership, Foundations of Education, and Teaching and Learning.
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Assist with the planning, coordination, and leading of various activities, such as after school sessions, workshops on a variety of social-emotional learning topics, tutoring, job shadowing, and others as needed.
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machine learning jobs Title: manager Company: Nvidia in Richmond, VA
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