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Field
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, PostgreSQL, AWS, Docker and similar technologies. Collaborate with cross-functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs
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., MySQL, Oracle, MSSQL, PostgreSQL, Aurora, or Redshift) Experience using data visualization and reporting tools (e.g., Oracle Analytics Cloud, Tableau, Power BI). Demonstrated knowledge of scalable data
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working with geospatial databases, such as PostgreSQL + PostGIS. Practical experience working with geospatial data servers such as ArcGIS Enterprise or GeoServer. GeoServer experience is particularly
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services built on Java, PostgreSQL, and Linux. The Senior Software Developer is involved at every stage of the development lifecycle from requirements discovery and solution design to development, testing
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). Strong foundation in database management (e.g., SQL, PostgreSQL, or similar) and data integration. Experience deploying AI/ML frameworks is an asset. Skills: Strong technical architecture, automation, and
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guidance to support staff and/or student employees. Must be proficient in the use of python, JavaScript, CSS, and HTML; PostgreSQL, MySQL, and SQL oracle; Linux Red Hat and Ubuntu ****The final salary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
databases such as MySQL, PostgreSQL, SQLServer, Oracle, Triplestores, or other semantic technologies). Experience with software development and project management tools, and file version control systems (e.g
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learning and artificial intelligence Support machine learning model development using tools and technologies such as PyTorch, PostgreSQL, Amazon Web Services, Docker, and similar technologies Collaborate
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design principles Experience with relational databases (PostgreSQL, MySQL, MariaDB) Production deployment experience using cloud platforms and containerization Strong understanding of software development
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. Responsible for querying large datasets using SQL in Teradata and PostgreSQL environments, combining and matching data from a variety of sources, performing and interpreting statistical data analysis