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Seeking a registered Patent Attorney or Agent with a Bachelor's degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics or related technical field involving AI/ML. Experience with AI models, neural networks, and deep learning is required.
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Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning. Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline clinical operations using diverse data sources like medical images, electronic health records, patient waveforms, and clinical documentation.
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Keywords Python, Spark SQL, Data Science, Applied Machine Learning, Deep Learning, LLM, Generative AI, NLP. Our client, a leading distributor headquartered in the Chicago area, is looking for a REMOTE Senior Data Scientist focused on Applied Machine Learning to join their growing team.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership.
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Real world experience as an ML engineer or data scientist role building and deploying ML models or developing deep learning models, with experience in at least 3 of the 5 key machine learning algorithms: Ridge Regression and Lasso, random forests, linear optimization models, sensitivity analysis, and boosting model.
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Apply your expertise in data science, machine learning, and statistical modeling to analyze data and optimize model performance. - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
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Python, Spark SQL, Data Science, Applied Machine Learning, Deep Learning, LLM, Generative AI, NLP. At least five years of experience in deep neural networks and cloud computing solutions.
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In addition to gaining deep experience with developing systems at scale, you'll work with a world-class data science team (winners of multiple KDD Best Paper and other awards) that keeps us on the cutting edge of machine learning research, and you'll gain direct exposure to the ins and outs of the rapidly growing and evolving adtech industry.
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Deep understanding of Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers. NVIDIA is looking for a Developer Relations Manager to work with our largest global alliance partners to enable them with domain expertise in our portfolio of GPU Accelerated Computing solutions i.e. Machine Learning and Deep Learning, specifically Generative AI and to build comprehensive multi-cloud, hybrid and on-prem solutions.
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Collaborate with our Data Science department to integrate cutting-edge AI technologies into our workflows. Join our team and embark on a journey of constant learning, collaboration, and personal growth.
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2+ years of experience in the field of Data science/Machine learning/deep learning. Good knowledge of Deep learning with keras and tensorflow. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more that are transforming the global economy.
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Collaborate with colleagues across multiple teams (Data Science and Data Engineering) on unique machine learning system challenges at scale. Build Deep Learning models and algorithms with optimal parallelism and performance on CP GPUs. MS or Ph. D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
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As the Senior Manager, Data Science, you will be responsible for leading and managing our Data Science team, driving the development and execution of data-driven strategies, and ensuring the successful implementation of machine learning and data analytics solutions.
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Our data science track covers most of the below: Topics and content might change based on the market requirements Python NumPy and Pandas Matplotlib data visualization Difference between Machine learning, Artificial Intelligence and Deep learning Data Manipulation: Cleansing-Munging Data Analysis.
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Familiarity with GenAI a plus Mastery of advanced deep learning techniques and transfer learning as well as NLP frameworks Experience with large-scale distributed computing and big data technologies (databricks etc) Advanced experience developing Machine Learning models or ML Ops processes Excellent communication skills are a MUST, all our employees are client-facing, and this role requires both written and verbal client management skills.
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data science deep learning jobs in El Paso, TX
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