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As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. + As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
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We are seeking a highly motivated individual to help drive digital pathology implementation including machine learning/artificial intelligence algorithms to support diagnostics and biomarker strategies.
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We are seeking a highly-skilled and experienced Senior Machine Learning Scientist to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
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A proven track record of using machine learning for predictive modeling and forecasting. Build accurate time series, optimization, and machine learning models. As a Senior Data Scientist at Micron Technology Inc., you will collaborate with internal stakeholder to provide data-driven solutions to complex strategic and tactical challenges.
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Experience with machine learning and AI. Has experience within Telco domain and experience in creating and deriving insights. Expertise in tools like R/Python/Pytorch. For marketing and workforce productivity , further write reports and present their findings to upper management regarding topics of.
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Experience with IBM AI Fairness 360 (AIF360) – preference; Machine Learning (ML); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
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Strong knowledge of time series analysis, modeling and forecasting time series data and hands on implementation experience with machine learning frameworks (TensorFlow) We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
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Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
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Experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C,C.
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Use machine learning and AI techniques (e.g., predictive models, uplift models, personalization models, and NLP tools) to solve complex problems and drive business decisions. In-depth understanding of Machine Learning and AI algorithms and model evaluation.
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Deep experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
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In this role, you'll support the enhancement and creation of threat detections by utilizing large-scale data workloads and applying statistics, machine learning, natural language processing, and more.
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Distributed Computing; (6) Spark; (7) R; (8) Machine Learning; (9) Tableau; (10) Predictive. Job Duties: Develop quantitative/machine learning models to forecast product losses.
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Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
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Preferred Knowledge & SkillsBroad knowledge of machine learning, statistical modeling, or data mining Expertise with building robust systems based on machine learning techniques.
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