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Gis Machine Learning Jobs in Austin, TX (NOW HIRING)

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Gis Machine Learning information

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$14

$28

$47

How much do gis machine learning jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for gis machine learning in Austin, TX is $28.27, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $33.37 per hour, depending on experience, location, and employer.

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 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 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 Austin, TX? For Gis Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Austin, TX look for? The top searched job categories for Gis Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Gis Machine Learning jobs? Cities near Austin, TX with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you
ArcGIS Geospatial Architect ( Local to TX)

ArcGIS Geospatial Architect ( Local to TX)

Megan soft Inc

Austin, TX • On-site

$62.50 - $82.25/hr

Other

Posted 5 days ago

Job description

We have a job opportunity of a Role ArcGIS Geospatial Architect with given job description on C2C. Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910.

Role: ArcGIS Geospatial Architect

Location: Austin, TX (Onsite)(Local)

Duration: 12+ Months

Experience: 10+ Years

Note: In-person Interview in Austin, TX

JD:

  • Bachelor’s or master’s degree in Geography, GIS, Computer Science, Public Health, or related field.
  • 7+ years of professional experience in GIS, with at least 3 years in a lead or architect role in cloud architectures, preferably in health, human services, or government sectors.
  • Expert-level proficiency in Esri ArcGIS (including ArcGIS Pro Advanced database management and network analyst toolboxes), including data management, geocoding, spatial analysis, and web mapping application development.
  • 5+ years of experience working with SQL Server Enterprise Geodatabases leveraging ArcGIS tools for management of geospatial data. 
  • 5+ years of experience with Python and SQL, including writing functions and procedures. 
  • 2+ years of experience working in an agile/scrum development lifecycle environment. 
  • Demonstrated experience in geospatial governance, including policy development, stakeholder engagement, and decision-making frameworks.
  • Strong knowledge of data management principles, metadata standards, and data quality assurance.
  • Excellent communication, technical writing, and stakeholder management skills.
  • Ability to manage multiple projects, prioritize tasks, and work independently.

Preferred Qualifications:

  • Familiarity with Medicaid, public health, or social services programs, systems and datasets.
  • Certifications in GIS (e.g., Esri Enterprise System Design Professional, Esri ArcGIS Enterprise Administration Professional, GISP).
  • Experience leveraging machine learning and LLMs for data extraction, cleaning, and documentation
  • GeoAI for spatial data analysis and prediction and/or generative AI to enhance various aspects of Geospatial Analytics Platforms.    
  • Experience with Snowflake Data Warehouses, especially as a source/target for ArcGIS integrations.
  • Custom web-based application interfaces and tools.   

Thanks & Regards

Praveen

Megan Soft, Inc.

Direct No: +1(248) 266-0910

E Mail: praveen@megansoft.com