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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures forstrategic enterprise projects and initiatives.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles.
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Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends. 10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions.
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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with AI, predictive analytics and the machine learning landscape is a huge plus.
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As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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Nice to have - You have some basic affinity or interest in machine learning / deep learning / artificial intelligence. You will work closely with experienced machine learning scientists to develop and ship cutting-edge tooling, and user-facing products.
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Focused on the $500B resilience investment gap in the grid today, our mandate is simple: Help electric utilities proactively adapt to climate change by integrating cutting-edge climate-asset intelligence into their existing planning workflows.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. 8+ years of backend software development experience in building and maintaining applications in any mainstream language such as: Java, JavaScript, Python, Kotlin, Ruby, Go, Swift, C.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. As a software engineer at TeachFX, you'll be a key leader of our company as we scale, and you’ll help define TeachFX’s engineering culture.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience.
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machine learning software engineer image processing artificial intelligence jobs Title: architect in South San Francisco, CA
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