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Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Serving as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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You will also serve as a subject matter expert regarding the latest industry knowledge to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices.
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Successful applicants will be expected to teach graduate courses, including but not limited to Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and Big Data Analytics.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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Good knowledge of Natural Language Processing (NLP) Position Title: Data Scientist (w/ Python & NLP) Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, and pattern recognition using various techniques such as decision trees, regressions, ensemble methods, and boosting algorithms.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Design, develop and Deploy innovative Machine Learning, Natural Language Processing (NLP), Gen AI, and Graph Neural Network (GNN) models using Python/GCP or other modeling tools.
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Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
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Data Scientist with 4-8 years in Data Scientist, Python, Natural Language Processing (NLP), ML, AWS for a contract to hire position onsite. Experience with Natural Language Processing (NLP), GenAI , AI, ML, Machine Learning – Supervised and Unsupervised Machine Learning.
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Solve business problems using but not limited to bootstrapping , decision trees , natural language processing (NLP) and market basket analysis. Title: Onsite Data Scientist, NLP, AWS, Python, GenAI, ML, AI, Data Cleansing, SQL, Scikit Learn.
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Required hands-on experience designing and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Must require skill set: Databrick, RAGS, Python Scripting, Gen AI, LLM, Deep Learning, NLP, AI, ML.
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machine learning natural language processing python r data jobs Title: analyst
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