The Company's market-leading solutions, enhanced by AI and machine learning capabilities, provide ... Familiarity with geospatial data (GIS), and predictive modeling-especially as they relate to risk ...
The Company's market-leading solutions, enhanced by AI and machine learning capabilities, provide ... Familiarity with geospatial data (GIS), and predictive modeling-especially as they relate to risk ...
... monitor machine learning capabilities. Responsibilities : • Own the roadmap for applied ML ... • Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and ...
... monitor machine learning capabilities. Responsibilities : • Own the roadmap for applied ML ... • Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and ...
Senior DevOps Engineer (US REMOTE)
Chicago, IL · Remote
$140K - $170K/yr
The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...
Senior DevOps Engineer (US REMOTE)
Chicago, IL · Remote
$140K - $170K/yr
The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...
Senior DevOps Engineer (US REMOTE)
Schaumburg, IL · Remote
$140K - $170K/yr
The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...
Senior DevOps Engineer (US REMOTE)
Schaumburg, IL · Remote
$140K - $170K/yr
The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...
APTPUO - Winter 2027 - GEG2320-C00
Campus, IL · On-site
$239.47/hr
You will learn to use Geographic Information Systems (GIS) software to encode, manipulate and store digital geospatial data, create dynamic maps with satellite imagery and machine learning ...
APTPUO - Winter 2027 - GEG2320-C00
Campus, IL · On-site
$239.47/hr
You will learn to use Geographic Information Systems (GIS) software to encode, manipulate and store digital geospatial data, create dynamic maps with satellite imagery and machine learning ...
Senior Robotics Engineer
Chicago, IL · On-site
$107K - $147K/yr
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic Excited about learning the ag industry, understanding what's important to farmers and ...
Quick apply
Senior Robotics Engineer
Chicago, IL · On-site
$107K - $147K/yr
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic Excited about learning the ag industry, understanding what's important to farmers and ...
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
Robotics Engineer
Chicago, IL · On-site
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic Excited about learning the ag industry, understanding what's important to farmers and ...
Quick apply
Robotics Engineer
Chicago, IL · On-site
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic Excited about learning the ag industry, understanding what's important to farmers and ...
Senior Robotics Engineer
Chicago, IL · On-site
$107K - $147K/yr
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
Senior Robotics Engineer
Chicago, IL · On-site
$107K - $147K/yr
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
Senior Robotics Engineer
Chicago, IL · On-site
$107K - $147K/yr
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
Senior Robotics Engineer
Chicago, IL · On-site
$107K - $147K/yr
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
Robotics Engineer
Chicago, IL · On-site
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
Robotics Engineer
Chicago, IL · On-site
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Ag-gnostic - Excited about learning the ag industry, understanding what's important to farmers and ...
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software
Quick apply
It's this very spirit that drives us to build a robotic machinery platform, delivering a service ... Experience working with geospatial data * Experience working with Docker-based software
Staff Engineer, Mobile Cross-platform
Chicago, IL · On-site +1
$130K - $180K/yr
We're doing it with energy, curiosity and sheer dedication, always learning from unique ... machine generated data from our farmer's equipment to geospatial data, precision agriculture ...
Staff Engineer, Mobile Cross-platform
Chicago, IL · On-site +1
$130K - $180K/yr
We're doing it with energy, curiosity and sheer dedication, always learning from unique ... machine generated data from our farmer's equipment to geospatial data, precision agriculture ...
Machine Learning Geospatial information
What does a Machine Learning Geospatial professional do?
A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.
What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?
Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.
What is the difference between Machine Learning Geospatial vs GIS Analyst?
| Aspect | Machine Learning Geospatial | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial data | Bachelor's in Geography, GIS, or related fields; proficiency in GIS software |
| Work Environment | Tech companies, data science teams, research institutions | Government agencies, urban planning, environmental firms |
| Industry Usage | Data-driven geospatial analysis, predictive modeling, AI applications | Mapping, spatial data management, spatial analysis |
Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.
What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial specialist, and why are they important?
To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What are popular job titles related to Machine Learning Geospatial jobs in Illinois? For Machine Learning Geospatial jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Illinois look for? The top searched job categories for Machine Learning Geospatial jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Geospatial jobs? Cities in Illinois with the most Machine Learning Geospatial job openings:
Job description
About Technosylva
Technosylva is a global leader in wildfire and extreme weather risk mitigation software. The Company's market-leading solutions, enhanced by AI and machine learning capabilities, provide real-time and predictive insights to support electric utility, insurance, and government agency customers.
Technosylva has provided critical solutions for the past 26 years. In 2022 the organization entered a period of significant growth and transformation with investment from TA Associates, a leading growth PE firm, scaling to about 225 employees and offering its product in over 10 countries. In 2024 General Atlantic, a leading global growth investor, announced a strategic growth investment in Technosylva to support the company in its mission.
Overview
Technosylva is looking for a highly motivated and customer-focused individual to join our team as a Customer Success Manager at Technosylva. In this role, you will be responsible for ensuring the successful adoption, engagement, and retention of our valued customers. As a key liaison between our customers and our internal teams, you will play a pivotal role in delivering exceptional customer experiences and driving the overall growth of our technology solutions.
Responsibilities
Required Skills
Preferred Skills
Industry Experience
Technical Skills
Technosylva is a global leader in wildfire and extreme weather risk mitigation software. The Company's market-leading solutions, enhanced by AI and machine learning capabilities, provide real-time and predictive insights to support electric utility, insurance, and government agency customers.
Technosylva has provided critical solutions for the past 26 years. In 2022 the organization entered a period of significant growth and transformation with investment from TA Associates, a leading growth PE firm, scaling to about 225 employees and offering its product in over 10 countries. In 2024 General Atlantic, a leading global growth investor, announced a strategic growth investment in Technosylva to support the company in its mission.
Overview
Technosylva is looking for a highly motivated and customer-focused individual to join our team as a Customer Success Manager at Technosylva. In this role, you will be responsible for ensuring the successful adoption, engagement, and retention of our valued customers. As a key liaison between our customers and our internal teams, you will play a pivotal role in delivering exceptional customer experiences and driving the overall growth of our technology solutions.
Responsibilities
- Relationship Management: Build strong, lasting relationships with customers by actively engaging with them throughout their journey. Proactively identify opportunities for upselling and cross-selling based on the customer's evolving needs.
- Product Expertise: Develop an in-depth understanding of our Operational and Planning products for wildfire and extreme weather. Effectively communicate the value proposition of our solutions, addressing customer inquiries and providing guidance on best practices to maximize usage and ROI.
- Customer Onboarding: Support the onboarding process for new customers, ensuring a smooth transition from Sales to Implementation to CS. Working closely with customers to understand their needs, goals, and desired outcomes.
- Customer Training: Provide training sessions and workshops for customers in coordination with subject matter experts, ensuring they have a comprehensive understanding of our products and how to use them effectively to achieve their desired outcomes.
- Issue Resolution: Serve as the primary point of contact for customer inquiries, issues, and escalations. Collaborate with internal teams, including Technical Support and Delivery, to address customer concerns promptly and provide timely solutions.
- Data Analysis: Utilize customer data and metrics to identify usage trends and potential areas for improvement. Provide data-driven insights and recommendations to help customers optimize their experience with our solutions.
- Renewal and Expansion: Collaborate closely with the Sales team to support the renewal process by demonstrating ongoing value to customers. Identify opportunities for upselling and expansion based on customer engagement and needs.
- Feedback and Collaboration: Act as the voice of the customer within the organization, conveying customer feedback and insights to influence product enhancements and improvements on the roadmap.
Required Skills
- Proven experience in Customer Success, Account Management, or related client-facing roles within the tech industry.
- Experience working in or with industries related to wildfire risk mitigation, weather analytics, and/or electric utilities.
- Exceptional communication and interpersonal skills, with the ability to build rapport and establish trust with customers.
- Strong problem-solving skills and the ability to navigate challenging situations with a positive attitude.
- Technical aptitude and the ability to understand and explain complex tech solutions.
- Data-driven mindset, comfortable using data and metrics to drive customer engagement and success.
- Proficiency in using Customer Relationship Management (CRM) software.
- Self-motivated and able to work independently, as well as collaborate effectively within cross-functional teams.
- Strong organizational skills and the ability to manage multiple customer relationships simultaneously.
Preferred Skills
Industry Experience
- Background in SaaS-based risk management, geospatial analytics, or emergency response technology is a plus.
Technical Skills
- Familiarity with geospatial data (GIS), and predictive modeling-especially as they relate to risk assessment.
- Ability to quickly learn and articulate the value of fire behavior modeling, meteorological data, and risk analytics tools.
About Technosylva
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
La Jolla, CA, US
Year founded
1997