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Gis Machine Learning Jobs in Oregon (NOW HIRING)

LSU AgCenter

... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...

Louisiana State University

... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...

Louisiana Workforce Commission

... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...

All JobsGis Machine Learning JobsGis Machine Learning Jobs in Oregon

Gis Machine Learning information

What is a GIS Machine Learning job?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are common challenges when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in Oregon?

For Gis Machine Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Gis Machine Learning jobs in Oregon look for?

The top searched job categories for Gis Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Gis Machine Learning jobs?

Cities in Oregon with the most Gis Machine Learning job openings:

Gis Machine Learning jobs near you

Senior Software Engineer (.NET/EF/Azure)

Swan Island Networks

Portland, OR • On-site

$120 - $160/hr

Other

Re-posted 16 days ago

Job description

About Us

Swan Island Networks has been developing situational intelligence and alerting software for over a decade. Swan Island's current TX360® platform helps companies make faster, better informed decisions in mission critical situations. Our legacy TIES® SaaS product was used around the world in situations such as the Egyptian Revolution, the Fukushima nuclear melt-down and the West Africa Ebola crisis. Today our products are right in the middle of helping companies navigate disruptions due to wildfire season, hurricanes, the primaries and more. Founded by 20-year veterans of the cyber security industry, Swan Island Networks began as a software engineering lab working with the US government, focusing on R&D programs. Now our primary focus is on the large enterprise market. A career at Swan Island will give you a prominent role in the development of our flagship product TX360® as we take it to market.

Position

Full-time Senior Software Engineer

Responsibilities

This role requires extensive back-end work using technologies such as Entity Framework and Azure. The ideal candidate is familiar with advanced MS SQL and cloud-based applications. Sprints are short and development is rapid and iterative. Each member of our small team wears many hats and is comfortable testing and increasing our respective skill sets. You should be, too. Easy, no-drama collaboration is crucial to maintaining our fast pace, so affability is a big asset!

Requirements
  • .NET/C# 4.5
  • Entity Framework 6 (POCO, Fluent API)
  • Microsoft Azure (Deployment, Management, Cloud Services, Service Bus, Apps and Storage)
  • MS SQL/SQL Azure
Bonus Points
  • ASP.NET MVC and WebAPI
  • CQRS
  • GIS
  • LeafletJS/Bing Maps/Google Maps/ESRI
  • Machine Learning
  • MCP
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