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Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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Strong understanding of ML/AI methods such as SVM, Random Forest, XGBoost, Light GBM, Deep Learning (CNN, RNN, LSTM), Reinforcement Learning, Optimization. The ideal candidate for this role will have strong coding skills (preferably in Python, PySpark), strong knowledge about ML algorithms and NLP techniques, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.
$121,400 - $202,400 a yearFull-timeWork from homeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning. Role:As the Principal Applied Scientist in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency.
$192,000 - $264,000 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in deep learning, TensorFlow/PyTorch preferred. Has a deep understanding of the foundations of statistics and machine learning models. Has a deep understanding of the foundations of statistics and machine learning models.
$102,400 - $187,700 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Deep skillset involved in Machine learning including Random Forest, NN, Clustering. This is the perfect opportunity for an experienced Data Scientist looking for an opportunity for clear upwards progression and a chance to help the business make real-time decisions.
$150,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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3+ years of hands-on working experience as Data Scientist with deep understanding of Machine Learning and AI algorithms- Linear Regression, Logic Regression, Decision Trees, K-Nearest Neighbors, Neural Networks, Random Forests, NLP/NLU, etc.
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Machine Learning: must have deep understanding of ML algorithms (i.e. deep learning, random forest, gradient boosted trees, k-means clustering, etc.) Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution.
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Proven experience with machine learning and deep learning techniques. A Korn Ferry client is seeking a Senior Data Scientist with GenAI experience to help businesses across diverse industries solve complex challenges and achieve optimal results.
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PhD in deep learning, artificial intelligence, and/or related technical field. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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The Commodity Trading Service Line at McKinsey supports clients in commodity trading and risk strategy, trading operations transformation, and trading and risk digitization driven by deep trading experts with hands-on trading experience and advanced analytics assets.
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