Lead software development of an ArcGIS Pro extension integrating machine learning modules, natural hazard data and vulnerability inventories. Collaborates with data scientists and data solutions ...
Lead software development of an ArcGIS Pro extension integrating machine learning modules, natural hazard data and vulnerability inventories. Collaborates with data scientists and data solutions ...
Lead software development of an ArcGIS Pro extension integrating machine learning modules, natural hazard data and vulnerability inventories. Collaborates with data scientists and data solutions ...
Lead software development of an ArcGIS Pro extension integrating machine learning modules, natural hazard data and vulnerability inventories. Collaborates with data scientists and data solutions ...
... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...
... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...
... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...
... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...
... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...
... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS), statistics, large-scale data visualization, and image analysis. Potential areas of research are broad ...
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?
| Aspect | Gis Machine Learning | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's in GIS, Computer Science, or related; knowledge of machine learning | Bachelor's in Geography, GIS, or related; GIS certifications often preferred |
| Work Environment | Data science teams, software development, research projects | Urban planning, environmental agencies, government offices |
| Employer & Industry Usage | Tech companies, research institutions, environmental firms | Government agencies, consulting firms, urban planning departments |
| Common Search & Comparison Intent | Understanding technical skills and data modeling | Analyzing 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:
Job description
Overview
Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai.
Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company's commitment to hiring and supporting active-duty and veteran employees.
ResponsibilitiesEmpower AI is seeking a software development consultant to join our SBA team supporting disaster management and recovery for small businesses affected by natural disasters. This developer will be a key part of a team providing insights to our federal customer from a range of internal and external data sources to reduce the burdens on the American people following disasters.
The position is split between two major lines of effort. The first, leading a software development task using geospatial models and python to support agency situational awareness following disasters. Second, the Software Developer will lead the development of scripts and tools to optimize production activity for the cartographic and data analytical activities of the team.
Responsibilities:
- Serves as subject matter expert on software and application development issues, to include supporting a team of other subject matter experts with clarification of requirements and an understanding of capabilities and constraints. Applies practical experience and theoretical knowledge and expertise to solution development. Lead software development of an ArcGIS Pro extension integrating machine learning modules, natural hazard data and vulnerability inventories. Collaborates with data scientists and data solutions professionals to fulfil requests for information from senior government officials, supporting critical government planning, and audit work. Ensures the accomplishment of project activities and objectives. Provides a broad range of consulting services, including program planning, strategy development, program execution, evaluation, and policy development. Utilizes experience and expertise to contribute to the development of deliverables. Leads or assists in discussions and meetings with the client or project team. Performs a variety of tasks that require both practical and experience and theoretical, state-of-the-art, technical knowledge in specialty areas. An eagerness to learn and discover new data and techniques is essential for this innovative application of geospatial modeling.
Qualifications
Qualifications:
- Ability to support the technical aspects of data analysis, tool development, and system integration on a number of hosted and desktop environments. Deep knowledge of Python and related libraries supporting data analytics, and familiarity with all or some of the following: R, SAS, SQL. Knowledge of cloud technology to include AWS (Amazon Web Services) and ArcGIS Online. Familiarity with Snowflake data warehouse technology preferred but not required. Experience with coding integration with internal and external databases and websites through APIs and other means. Knowledge of Esri products and services to include ArcGIS, datasets and maps, scripting and notebooks and other development resources. Knowledge of data science and business intelligence applications like Tableau, Power BI and ArcGIS Online applications. Familiarity with Jira, GitHub or similar project management tools and experience supporting DevOps programs in agile and waterfall approaches. Previous experience having worked on programs for the federal or state and local government supporting disaster management, such as FEMA, is preferred. Familiarity with a range of geospatial information relating to natural hazard or natural phenomena such as weather and geological hazards. Excellent communication and documenting habits
Requirements:
Currently holding or able to receive a Public Trust level of clearance
Bachelors degree in computer programming, Geographic Information Systems or other related field
5 Years of experience
About Empower AI
All hiring and promotion decisions at Empower AI are based on merit to bring the best talent available to contribute to our firm's overall success. It is the policy of Empower AI not to discriminate against any applicant for employment, or employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Empower AI is a VEVRAA Federal Contractor.
Employment Type: FULL_TIME
About Empower AI
Sourced by ZipRecruiter
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Reston, VA, US
Year founded
1989