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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7 years of experience as a professional data scientist or machine learning engineer. We need an experienced data scientist to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyperparameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set.
$259,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application developm. Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and ML.
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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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5+ years of hands-on experience in architecting and implementing AI solutions, with strong focus on machine learning, deep learning, and natural language processing. Leidos is looking for a full-time, senior level, AI Solutions Architect with broad based experience in AI and machine learning design, development, governance, policy, and application and integration to support strategic client requirements for AI development and integration into data collection, data analysis, and reporting.
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A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions. Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
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We are seeking a qualified candidate for the role of FPGA Engineer who will be responsible for designing, implementing, and testing FPGbased solutions for critical signal processing applications.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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We operate through five global businesses: Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals; and Manufacturing & Technology. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets.
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Solid understanding of digital signal processing theory and algorithms, with a focus on wireless communication systems and standards (e.g., 5G, LTE, Wi-Fi). Role overview:As a DSP Software Engineer specializing in 5G wireless communication systems, you will play a key role in designing, implementing, and optimizing digital signal processing algorithms and software for next-generation wireless communication systems.
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Experience or familiarity with data science/machine learning and development experience for supervised and unsupervised learning with structure and unstructured datasets. Responsibilities include, but are not limited to:Developing large volume data sets sourced from multitude of relational (Oracle) tables to allow data analysts and scientists to construct training sets for machine learned models and recurring reports & dashboards.
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In this role, you will: ·Design and develop digital signal processing algorithms for various aspects of 5G wireless communication systems, including modulation/demodulation, channel coding/decoding, synchronization, and beamforming.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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The Main Responsibilities • Work with team to scale analysis of evolving threats and tracking threat actors leveraging support from data science tools sets developed by data scientists at the Lab such as machine learning and graph analytics.
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The National Security Sector within Leidos is seeking a Data Modeling/Reshift DBA with strong systems, software, cloud, and Agile experience to support the Passenger Systems Program Directorate (PSPD) within Customs and Border Protection (CBP.
$183,300 a yearFull-timeExpandApply NowActive JobUpdated Today
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