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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus.
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Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Preferred Skills 5+ years in a data engineering role with demonstrable experience with Cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, and automating machine learning components.
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Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference. Design and develop machine learning and deep learning systems using appropriate ML algorithms/frameworks.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Responsibilities: Developing and training machine learning models using Natural Language Processing (NLP) techniques. Requirements: Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Experience in data analysis, statistical learning, and machine learning. Experience with multiple deep learning techniques such as Transformers, CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Our specialized data centers run computing-intensive applications powered by clean energy for: Cryptocurrency Mining Artificial Intelligence Deep Learning Machine Learning Scientific Computing Natural Language Processing Video Transcoding and more.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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machine learning natural language big data jobs Title: senior data scientist Company: Cardinal Health
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