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As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.
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What We Do:Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Advanced degree in a quantitative discipline, strong programming skills (R, SQL, Python), expertise in machine learning and statistical modeling, experience with cloud deployment and services, familiarity with airline revenue management algorithms.
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Data mining), and conducting a variety of analytics (including but not limited to techniques, such as statistical analysis, clustering, segmentation, machine learning, natural language processing, and GIS.
$88,000 - $157,000 a day (equity)ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experienced with traditional as well as modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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The BI Analyst will assist CapMetro in making informed business decisions that enhance service quality and sustainability, use business intelligence analytical tools and machine learning techniques to leverage the warehouse of datasets, mine for information and statistics, create performance metric dashboards, and create user-friendly BI interface applications to query databases.
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The successful applicant will be responsible for developing a strong research program integrating data science approaches (advanced statistical techniques, machine learning, deep learning, AI or similar), data management approaches (curation and publication of reference data sets), latest sensor technology, and/ or advanced modeling techniques for applications in agricultural sciences.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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In-depth knowledge in development, training, testing, and computing platforms for deep learning (DL) and statistical machine learning (ML). You must have expert knowledge of the principles, algorithms, and techniques in video and image processing, or machine learning, or computer vision technology.
$116,200 - $142,200ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Knowledge in development of statistical and machine learning models, including model validation, monitoring, explainability, and interpretability. Proven NLP machine learning skills, including Transformer, BERT, k-shot learning, XGBoost, TensorFlow, PyTorch, Keras, Elasticsearch, etc.
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Successful candidates are expected to have experience with, or by ready to learn, data visualization; statistical methods, machine learning and AI-based methods; geospatial data management, image processing and computer vision; and text to data.
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. Experience in the full cycle of human computation research, including the rater-facing UI designs, human rater quality control, and statistical analysis of the data collection results.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
ExpandApply NowActive JobUpdated 8 days ago
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