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Experience deploying Machine Learning solutions on cloud platforms (e.g., Proficient with GitHub actions to automate testing and deployment of data and ML workloads from CI/CD provider to Databricks.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. At least 2 years’ experience with machine learning.
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Utilizing knowledge of data science and machine learning frameworks including PyTorch, Keras, TensorFlow, and Scikit-learn; natural language processing including generative AI LLMs, NLTK, Spacy; and cloud platforms including AWS and Azure in the performance of job duties.
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Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models. In depth understanding of Machine Learning / Deep Learning / NLP concepts.
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You are experienced with the lifecycle of machine learning, data science, data and ML pipeline design, and have a deep understanding of how they can be deployed and orchestrated in a cloud-based infrastructure.
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Apply now and join us at Sports Academy to inspire the next generation of champions. Now imagine channeling that spirit into reshaping education and inspiring the next generation.
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Our work depends on a TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO. Deliver simple solutions to complex problems as a Machine Learning Engineer at Blackspoke.
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Molecular biology skills (e.g. DNA Extraction, Purification, PCR, qPCR, next-generation DNA sequencing) and related technical knowledge. Position title: Clinical Laboratory Technologist, Next Generation Sequencing.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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machine learning language processing next generation jobs Company: Quantum Technologies Usa
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