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Design, develop, and implement machine learning algorithms and artificial intelligence systems to solve complex problems. Have expertise in both machine learning and DevOps practices, ensuring seamless integration of ML solutions into the software development lifecycle.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. In particular, this role will focus on AI DLP; however, they will also assist with other DLP categories as well: e-mail, network, end point, etc.
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Hands-on experience with injection molding processes and troubleshooting mold-related issues. Understanding of injection molding processes, including machine capabilities, tool layouts, and sampling procedures.
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A graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
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Kyle comes from the policy world, previously reporting to the CIO of Schmidt Futures, and with a background in software engineering for machine learning applications. Hands on fabrication and rapid prototyping.
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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts.
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As an Affordable Housing Development Trainee, you will gain hands-on experience in all aspects of affordable housing development. Learning and Development: Participate in training sessions and workshops to gain a solid understanding of affordable housing development.
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We are seeking a Big Data Administrator/ Lead. Candidates must have hands-on Cloudera Solr, HBase implementation experience. The candidate must be hands-on, and set up Cloudera Solr, HBase.
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Hands-on knowledge/experience with Rockwell, Schneider Electric, and Siemens PLC’s. Hands-on knowledge/experience with Aveva Wonderware, Aveva Plant SCADA (Citect), VTScada, and Ignition software.
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Pioneer new antibody design techniques, build robust data pipelines for antibody function and developability assays, and enhance Aureka’s statistical and machine learning models based on data insights.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer to join our Team in Irvine, TX.
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Proficient in statistical modeling, machine learning, and data science, particularly as applied to chemical and electrochemical systems. PhD in Chemistry or a related field, with a focus on electrochemistry, physical chemistry, or organic chemistry.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence. Education: Ph. D. or Master’s degree in AI, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on big data or artificial intelligence.
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Keywords: MLOps, Machine Learning Operations, ML Infrastructure, AIOps, Sofware Development, AWS, Amazon Web Services, Bedrock, Sagemaker, Vertex AI, Docker, Kubernetes, K8s, Containers, Containerization, Ansible, Terraform, IaaC, SaaS, Postgres.
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hands on machine learning jobs Title: artificial intelligence in New Orleans, Lahaina, Hawaii
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