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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
$80 - $90 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Deep understanding of machine learning, deep machine learning, artificial intelligence, and natural language processing. This is a full-time, permanent position with a hybrid work model based in New York. We are at the cutting edge of the technology industry, using advanced AI, deep machine learning, and natural language processing to revolutionize the financial sector.
$275,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.
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This role is essential to delivering high-quality analytic tools based on validated machine learning research to scientists working in medicinal and computational chemistry. We’re seeking a Machine Learning Infrastructure Engineer to join us in our mission to improve human health and quality of life by developing advanced computational methods to transform drug discovery and materials design.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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Performing model testing and building challenger models during asset management, financial or machine-learning model validation leveraging one or more of the following languages: R, Python, MATLAB, and C.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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The Model Risk Management Group (MRMG) is responsible for oversight of model risk and governance over machine learning usage enterprise wide. The qualified candidate should have a good understanding of machine learning algorithms (e.g., gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well as classic statistical modeling techniques and assumptions.
$38.45 - $87 an hourInternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Keywords: Translational, Clinical, Genomics, Omics, Pharma, Biopharma, Biomarker, Cancer, Immunology, Deep Learning, Machine Learning, ML, AI, DL, Bioinformatics, Computational Biology, Biopharmaceutical.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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machine learning jobs Title: scientist applied Company: Adobe in New York, IN, Pennsylvania
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