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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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RCNN, Neural Network, Darknet, Pytorch, Tensorflow, QT, Python, CNN, Artificial Intelligence, machine learningAdditional Skills & Qualifications:Design and develop real time AI – Neural Network solutions for railway maintenance equipment.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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Skill in the application and interpretation of AI/ML analytical techniques including supervised, unsupervised and reinforcement learning, or NLP, utilizing statistical programs and programming languages (such as Python, R, SAS, etc.
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Strong in AI: Experience with Python and current AI methods (e.g.: Generative AI, Foundation Models/Large Language Models), Responsible AI, Machine Learning (e.g.: model tuning/training, PyTorch, deep learning, transformers.
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Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
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Fluent in multiple programming languages relevant for machine learning, deep learning, and data analytics (e.g., MATLAB, Python, R) As an AI/ML Image and Signal Processing Intern, you will develop proofs of concepts by using signal processing and/or image processing techniques, with an emphasis on applying machine learning /artificial intelligence techniques in addition to conventional methods.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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Knowledge in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics). Distill large datasets into effective visualizations for executive reporting through data-analytics/visualization applications and languages (Tableau, R, Python, SQL, etc.
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Relevant experience in multimodal data, to include: speech, image, video or text processing and/or data science, applied machine learning or artificial intelligence across the disciplines of Human Language Technology (HLT), Computer Vision (CV), Natural Language Processing (NLP) and Natural Language Understanding (NLU.
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Ph. D. is preferred) At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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Successful candidates will have a deep knowledge of Anomaly detection and Machine Learning methods, experience in applying these methods to large-scale business problems, the ability to map models into production-worthy code in Python or Java, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big research challenges.
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machine learning natural language python r jobs Company: Synch Solutions
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