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We expect our Machine Learning Engineer to have excellent skills with Python and its machine learning / natural language processing libraries, and have working experience with both structured and unstructured data.
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We are looking to hire experienced Machine Operatorsto run a variety of die cutting/print finishing equipment. Do you have experience with die cutting, Bobst, or operating other print finishing machinery.
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Experience with some of the following areas: Dashboard building, Cloud Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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From custom packaging design and packaging materials to prototype development and manufacturing, packaging automation and equipment, kitting and fulfillment, global sourcing, and full service warehousing and logistics, our packaging consultants develop cutting-edge, innovative solutions that take a product from concept to consumer.
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Our client is a cutting-edge combined-cycle power plant primarily fueled by natural gas. I&C Technician (Instrumentation and Controls Technician) Our client is a cutting-edge combined-cycle power plant primarily fueled by natural gas.
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Recent experience with LNG is preferred; however, petrochemical NGL, cryogenic natural gas processing, or hydrocarbon processing experience may be acceptable. The LNG Technician (Instrumentation) reports directly to the Instrument Supervisor and is a member of multi-disciplined crew responsible for the operation of a liquefied natural gas (LNG) import/export and re-gasification terminal including LNG process systems infrastructure controls and emergency response.
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Utilize methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions.
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6+ years of experience in machine learning, deep learning, and natural language processing. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus.
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Responsible for improvement initiatives that define equipment data, equipment capabilities, utilization, efficiencies and obsolescence as it relates to processing. This position primarily is involved in the analysis, design, and improvement of manufacturing process systems for the bulk powder processing, spray drying, liquid processing, CIP, dry blending, and powder handling processes within the North American region of Abbott Nutrition.
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Extensive experience developing, implementing, and training novel and scalable machine learning architectures on large multi-modal datasets in either scientific research or product development settings.
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Proven experience in leading solution engineering or product design and associated methodsExperience w/Mixed data sets and approaches (analytics, analytic tools, data science)Exceptional understanding of cutting-edge analytics, technologies, consumer behavior, and travel industryProficiency with Python, SQL, Snowflake, Databricks, Tableau, PowerBI and other commonly used analytics, data management and business intelligence applications.
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Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. In this role, you will: Our team is looking for someone passionate about Natural Language Processing.
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Develop AI-based systems for Natural Language Processing (NLP) Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
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Implement machine learning and natural-language-processing (NLP) methodologies to train and deploy data-scientific models that improve, support and streamline the work of the quality engineering (QE) teams at Red Hat.*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, Inc. office in Westford, MA.What You Will Do:Design roadmaps and write python scripts, develop python scripts and maintain high quality standards to deploy the model into production.
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machine learning natural language processing cutting edge jobs Title: data scientist Company: University Of Wisconsin
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