Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with
Environmental, Health & Safety Specialist Imagine working at the forefront of innovation in fluid-flow technology, with over 1400 colleagues across the globe, and contributing to a legacy of excellence that spans eight manufacturing facilities on four
Machinist In Training PCB Piezotronics, Inc. manufactures sensors used by design engineers and predictive maintenance professionals to test and measure vibration, pressure, force, acoustics, load and shock for test, measurement, monitoring and control requirements. Our sensors support
CS Students in Your Final YearStart Preparing for Day One of Your Tech Career If youre a Computer Science student approaching graduation, youve probably realized that getting a degree is just step one. The job market
CNC Machinist II Buffalo, NY * Be part of an exciting journey as we prepare for production at our new facility in the Western New York Science & Technology Advanced Manufacturing Park (STAMP). Edwards Genesee location
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
Schneider Electric has an opportunity for a Solution Architect-Digital Power that supports the New England and Upstate NY area. Preference for residency in Boston or Andover MA. Candidates can also reside in Buffalo NY, Syracuse NY,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product