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Machine Learning and Deep Learning (Some or all): Deep neural networks(CNN, RNN, LSTM), Supervised methods such as Tree based models (random forest, xgboost, Light GBM), K-NN, SVM as well as Unsupervised methods such as Clustering (Hierarchical, K-mean, K-medoids), Dimensionality reduction (PCA.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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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) Have functional knowledge related to some of the following: modeling knowledge of financial risks and derivative products (e.g., equity, FX, commodities, credit and interest rates), risk management, model development, model validation, advanced analytics (e.g., machine learning techniques.
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In this role, the primary focus is on recommender systems, so the candidate must be able to leverage machine learning techniques such as collaborative filtering, deep learning, reinforcement learning as well as Natural Language Processing techniques important in dealing with content metadata.
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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Job title: Machine Learning Engineer. #Machine #Learning #Engineer.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Conduct industry deep dive analysis to provide proactive category insights. Embracing diverse perspectives to foster innovation, learning from both successes and failures. This role resides in either our Frisco, TX or Burlington, MA office and reports to the Sr. Sourcing Manager of Indirect Procurement.
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A Glimpse into the Daily Routine of a Machine Learning Engineer. Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering.
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Experience with deep learning frameworks such as Tensorflow, PyTorch, and Keras. Experience in deep learning frameworks such as pytorch and tensorRT. 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.
$144,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc. As a data scientist, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Experience developing AI and deep learning-based machine vision metrology applications where defects can be trained using simple UI’s. CelLink’s investors include 3M, Atreides, BMW, BorgWarner, Bosch, D1 Capital, Fidelity, Fontinalis Partners, Ford, Franklin Templeton, Lear, Park West, SK Telecom, Standard Investments, T. Rowe Price, Tinicum, and Whale Rock.
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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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O Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The school psychologist will work with students in grades K-12, providing psychological evaluations and determining services in accordance with NJ state law, IDEA guidelines, and Catapult Learning policy and procedures.
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deep learning jobs Title: engineer Company: Genesis Research in Hoboken, NJ
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