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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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As a Principal Data Scientist, you will lead innovative data science projects and teams, using your expertise in machine learning, particularly Time Series, Natural Language Processing (NLP) and Large Language Models (LLMs), to develop scalable, ethical solutions that transform customer interactions with their finances.
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Support all GDIT Artificial Intelligence and Machine Learning and Data Management commitments through facilitation, development and maintenance of all applicable policies, procedures, and protocols in collaboration with GD, GDIT and other Business Units.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit GatewaysWide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learningShall possess AWS Solution Architect (Associate or Pro) certification.
$143,706 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more. Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts.
$177,632 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) + Machine learning using k-NN, naive bayes, decision trees, SVM experience required.
$109,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an engineer with a technical background in one of the following disciplines: systems engineering, applied operations research, modeling and simulation, RF and satellite communications, artificial intelligence and machine learning (AI/ML), or applied data analytics.
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AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities. + AI/ML Expertise: Experience in applying machine learning algorithms and artificial intelligence techniques in data processing and analytics.
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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
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Lead the development and implementation of machine learning and predictive analytics solutions. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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Qualifying coursework may include-but is not limited to-statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning analytics jobs in Fairfax, VA
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