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The candiate will have a chance to work across various MonoSol and Kuraray facitilies focused on scale-up and extrusion processes, and leverage various assets in order to facilitate growth and develop key learnings in natural/bio packaging materials.
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Expertise in digital signal processing techniques and AI/deep learning concepts. Design, implement, and evaluate models using both classical feature extraction and deep learning techniques.
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Incorporate natural language processing (NLP) and natural language understanding (NLU) techniques to improve bot performance. We're on a path towards becoming the best airline in the history of aviation.
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Design Customer Call Flow processes, Natural language Processing capabilities, dynamic routing and integration. Identify and design cost effective natural language self-service opportunities and other contact center transformation opportunities and design solutions for these identified opportunities.
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We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.
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Business ecosystems, SaaS, infrastructure as a service (IaaS), ERP (i.e. SAP, Oracle), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT, Predictive analytics and AI/ML (Artificial Intelligence, Machine Learning), etc.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
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Some of the industries served include plastics, laser, heat treating, food processing, machine tool, plating, anodizing, chemical, die casting, optical coating, and printing. Prepare drawings and models and provides drafting support on engineered orders, product updates, and new product development and documents revisions using a document management system.
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Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning. PhD. in computational biology, bioinformatics, or other biomedical sciences with a minimum of seven years experience in applying bioinformatics approaches to drug discovery/development, preferably in a biopharma setting.
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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Total BenefitsHere are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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5+ years experience in AWS (or other clouds) relevant to machine learning including data processing & storage, API development, MLOps, CI/CD pipelines, and container orchestration (preferably ECS & EKS.
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Plan and participate in summer learning program in collaboration with a focus on social emotional learning. Fluency in Arabic, Dari, French, Pashto, Rohingya, Spanish, Swahili or other international language is preferred.
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The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. This company engages in the exploration, production, transportation, and sale of crude oil and natural gas.
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