ZipRecruiter

Log In

1

Gis Machine Learning Jobs in Virginia (NOW HIRING)

Esri

GIS Solution Engineer - AEC

Vienna, VA

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Programming and ...

Esri

GIS Solution Engineer - AEC

Vienna, VA · On-site

$79.25K - $130.73K/yr

Experience incorporating real-time information streams with existing GIS data and IT infrastructure * Basic understanding of artificial intelligence/machine learning concepts * Programming and ...

BAE Systems

INTEL ANALYST

Fort Belvoir, VA

ORDER OF BATTLE experience * Experience and proficiency using GIS or imagery viewing and ... Experience with Machine Learning training data creation, annotation, and review as well as ...

BAE Systems

INTEL ANALYST

Fort Belvoir, VA · On-site

ORDER OF BATTLE experience * Experience and proficiency using GIS or imagery viewing and ... Experience with Machine Learning training data creation, annotation, and review as well as ...

RIT Solutions, Inc.

Data Engineer

Richmond, VA

$113.30K - $136.10K/yr

Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure ... Experience with GIS spatial data to create markers on maps (lat long nearest topology of road, geo ...

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling * Use machine learning approaches for remote sensing and agricultural ...

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling * Use machine learning approaches for remote sensing and agricultural ...

next page

Showing results 1-20

People also search for

All JobsGis Machine Learning JobsGis Machine Learning Jobs in Virginia

Gis Machine Learning information

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 are some common challenges faced 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 GIS Machine Learning jobs?

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 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 Virginia? For Gis Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Virginia look for? The top searched job categories for Gis Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Gis Machine Learning jobs? Cities in Virginia with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you
GIS Solution Engineer - Global Alliances & Partners

GIS Solution Engineer - Global Alliances & Partners

Esri

Vienna, VA

Other

Posted 10 days ago

Job description

Overview

As a GIS subject matter expert, you're a natural at identifying the right tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an innovative team and advise partners on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how to integrate spatial intelligence into commercial offerings.

At Esri, we are committed to our partners and their success. It is a place for you to do your best work and support our partners amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

  • Build relationships. Present, demonstrate, and support partners with integrating ArcGIS into their offerings. Support your team as you help plan and execute partner enablement strategies
  • Be an expert. Become a subject matter expert of partnering as well as a technical expert of ArcGIS. Speak confidently with partners about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your partners anticipating their needs and the technology trends that may impact them.
  • Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our partners by addressing the critical challenges they face. Define and deliver strategies to partners that align Esri technology with their business.
  • Tell our story. Present technical demonstrations of proposed solutions to partners. Successfully design presentations for technical and non-technical partners. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.

Requirements

  • 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
  • 1+ years of experience in various industries
  • Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
  • Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
  • Experience with geodatabases and underlying DBMS technology
  • Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
  • Remarkable presentation, interpersonal, and listening skills
  • Ability to travel domestically or internationally 25-50%
  • Bachelor's degree in geography, computer science, GIS, or a related field
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S

Recommended Qualifications

  • Ability to troubleshoot client issues related to Esri application deployment and system architecture
  • Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
  • Experience incorporating real-time information streams with existing GIS data and IT infrastructure
  • Basic understanding of artificial intelligence/machine learning concepts
  • Programming and scripting experience with languages such as Python and JavaScript
  • Master's degree in geography, computer science, GIS, or a related field

Questions about our interview process? We have answers.

#LI-AC1

#LI-ONSITE

ESRI logo

About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

View All ESRI Jobs

Apply