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Gis Machine Learning Jobs in Kansas (NOW HIRING)

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Utilize open-source GIS-based tools to develop H&H modeling suites for flood modeling applications ... Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

... GIS (Geographic Information Systems) and mapping technologies • Experience with T-SQL and ... using machine learning, statistical analysis, or data mining techniques to derive insights or ...

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Gis Machine Learning information

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 Kansas? For Gis Machine Learning jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Kansas look for? The top searched job categories for Gis Machine Learning jobs in Kansas are:
What cities in Kansas are hiring for Gis Machine Learning jobs? Cities in Kansas with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you
Software Development Engineer

Software Development Engineer

Wood Plc

Topeka, KS • On-site, Remote

Other

Posted 12 days ago

Job description

Overview / Responsibilities

Wood Environment & Infrastructure Solutions is seeking is seeking a highly motivated Software Development Engineer with Water Resources software development experience to join our Kansas Operations. Qualified applicants are required to have experience with water resources modeling applications, Information Management & GIS, Python and R programming. Our ideal candidate prefers to focus on water resources related projects and has a degree either in computer science or computer information systems. Applicants with a minimum of 5-10 years of experience are preferred. 

Key Responsibilities: 

  • Work as part of a team to develop software applications for engineering and information management projects  
  • Build custom applications and tools that integrate with other H&H engineering software programs such as HEC-RAS 
  • Utilize open-source GIS-based tools to develop H&H modeling suites for flood modeling applications 
  • Analyze and develop innovative solutions to improve upon existing applications 
  • Work within a team of programmers nationally, predominantly focused on water resources application development in support of our flood hazard mapping program, potentially including the maintenance and upgrade of existing tools 
  • Support project managers in the development of custom applications to improve process efficiencies and ensure project success, as well as conveying potential application development concepts to our clients 
Skills / Qualifications

Role Requirements:

  • BS degree in Computer Science or Information Systems 
  • 5-10 years of experience supporting water resource applications and/or information management projects 
  • Python, C#, JavaScript experience is a must 
  • Desired experience of applicants includes:  
  • R Scripting 
  • IM/GIS Applications (i.e. ArcGIS, QGIS, Asset management software) 
  • Intermediate knowledge of HPC / Data Science 
  • Water Resources Engineering Modeling Software  
  • USACE Software Application Development (i.e. HEC-RAS, HEC-HMS, etc.) 
  • Supplemental experience in one or more of the following areas will also be considered in addition to those required above:  
  • ArcGIS Online and Web Mapping Applications 
  • Batch Scripting  
  • SQL Database Management and analysis 
  • Fortran Programming 
  • Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python, PyCUDA, etc.) 
  • Field Collection/Mobile Applications (IOS, Android, etc.) and associated Esri field collection apps (FieldMaps 
  • Familiarity with cloud computing platforms (AWS, Azure, Google Cloud, etc.) 
  • Experience with Machine Learning, Deep Learning, and/or AI 
  • Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing platforms 
  • Understanding of IT protocols, networking, and database management 
  • Excellent technical writing and communication skills 
  • Successful candidates will have an energetic and positive attitude toward working as part of a team and with multiple clients on diverse projects 
  • Must pass drug test, background check and must have a satisfactory driving record in accordance with the Company's driving (MVR) policy 
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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