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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models.
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Expert-level familiarity with common machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IMinimum of 9-12 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IIMachine learning: Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, NLP, statistical modeling, and data analysis.
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The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Reporting to the Chief Technology Officer, this role will work closely with scientists in the laboratory and the machine learning team to iterate on our ML models and provide innovative computational solutions for the difficult research problems our team faces.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Staying up-to-date with the latest advancements in AI, machine learning, and autonomous vehicle research, and identifying potential areas of improvement for our existing systems.
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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. We are seeking an experienced Machine Learning Engineer (MLE) Manager to join our team.
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Big data/machine learning and AI techniques, including neural network and deep learning frameworks and machine learning tools (e.g., TensorFlow, Theano, Torch, Keras.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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The ideal candidate is an experienced software developer with a focus on machine learning, ideally familiar with GCP and Vertex AI. This Sr Machine Learning Python Developer role will involve supporting the AI model development process in our AI Pillar.
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The Zhang Lab at Institute for Informatics, Data Science, and Biostatistics (I2DB) focuses on developing and applying innovative causal machine learning to electronic health record (EHR) and claims databases to support clinical and regulatory decision-making.
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Experience in Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) We are seeking a highly motivated machine learning/AI scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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machine learning jobs Title: expert Company: Infor
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