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We are encouraging applicants with strong research background in the area of data science, machine learning, and natural language processing with a focus on healthcare applications.
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Minimum of 3 years of experience working with deep learning models using real-life (“industry”) data. Excellent proficiency in Python programming and one or more deep learning libraries (PyTorch, TensorFlow, JAX, etc.
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Strong technical foundations in wielding data (data querying / transformation / visualization, machine learning, deep learning, stats, math, NLP, generative AI and LLMs.
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Provide SME support on AI capabilities; predictive analytics, data science, natural language processing (NLP), computer vision, process automation, voice-enabled technology, machine learning, and generative AI.
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Deep knowledge of Data Science and related technologies (Python, R, scikit-learn, Tensorflow, PyTorch, etc.) Deep knowledge of Artificial Intelligence (AI), Large Language Models (LLMs), Generative AI (Gen AI), Machine Learning (ML), and Applied Statistics.
$106,300 - $235,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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A PhD degree or Masters in Computer Science, Information and Engineering Sciences, Computational Linguistics, Applied Mathematics or Applied Sciences with a focus on machine learning and deep learning.
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Our specialized HPC and digital technologies support our advanced and secure cloud-based workflows, expert geoscience data transformation and AI, machine learning and data science services.
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Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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Understand the mathematical theory, as well as practical benefits and pitfalls, of various predictive modeling techniques including (but not limited to) boosting, bagging, regression, Support Vector Machine (SVM), survival methods, deep learning, artificial intelligence and experimental design.
$73,300 - $118,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Spark MLlib: Machine learning library built on Apache Spark for distributed data processing. RStudio: Integrated development environment tailored for R programming, focusing on data science and statistical analysis.
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Deep hands-on experience in machine learning, relational databases, and open source programming languages (Python, R) for large scale data analysis. Strong knowledge of data science technologies and machine learning concepts and have experience developing models from research, to a proof of concept, to a production pipeline.
$140,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Data Science Manager Sr (Machine Learning Engineering Mgr Sr) Looking for experience with the following: DevOps, CI/CD, Docker, Kubernetes, AWS Sagemaker, GenerativeAI (GenAI - ChatGPT), Large Language Models (LLM), Natural Language Processing (NLP), Neural Network (NN, CNN), Deep Learning.
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Projects include, but are not limited to, use of real-world data for modeling and prediction of disease severity and progression, discovery of disease subtypes, risk stratification, and precision medicine using traditional biostatistical methodologies and advanced methodologies from machine learning and/or deep learning.
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Preference will be given to candidates who demonstrate experience in artificial intelligence methodologies, specifically deep learning, natural language processing, and/or data mining.
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Utilize advanced analytics and data science techniques, such as statistical analysis, machine learning, and predictive modeling, to analyze marketing data and predict future trends.
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