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Gis Machine Learning Jobs in Michigan (NOW HIRING)

... machine learning systems and evolving to support broader data and intelligence use cases. In this ... Experience building or leading domain-specific data platforms (e.g., AEC, BIM, GIS, manufacturing ...

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 Michigan? For Gis Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Michigan look for? The top searched job categories for Gis Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Gis Machine Learning jobs? Cities in Michigan with the most Gis Machine Learning job openings:
Sr. Director, Engineering, AEC Data

Sr. Director, Engineering, AEC Data

Autodesk

Novi, MI • On-site, Remote

Full-time

Posted 5 hours ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 190 rated software companies


Job description

Job Requisition ID #

26WD97368

Position Overview

Autodesk is shaping the future of the Architecture, Engineering, and Construction (AEC) industry by building the operational product data platform that powers the industry's design, collaboration, and lifecycle workflows. We are seeking a Senior Director of Engineering to lead the team responsible for the AEC Data Model, the core platform underpinning these capabilities across our product portfolio.

Reporting to the VP of AEC Data, as Sr. Director of Engineering within Autodesk's AEC Data team, you will lead the evolution and engineering delivery of the AEC Data Model, enabling the next generation of product data capabilities for the Autodesk Forma Industry Cloud. This platform is centered on operational product data and systems of record, while also interfacing with analytics and machine learning systems and evolving to support broader data and intelligence use cases. In this role, you'll work with leaders from Revit, Civil 3D, AutoCAD, Autodesk Platform Services, Autodesk Construction Solutions, Generative Design, and Forma Design to unify complex, historically fragmented design data across Autodesk's ecosystem into a coherent, scalable platform.

The successful candidate is an experienced engineering leader with a passion for large-scale systems and building high-performing teams. They combine deep technical expertise, innovative engineering practices, and leadership presence to drive alignment and execution across product, platform, and ecosystem teams.

As this role oversees a global organization, you will work across multiple time zones and travel up to 20% for team offsites and internal and customer events.

The role can be based in the US, Canada, or the UK with Eastern time zone preferred.

Responsibilities

  • Lead the engineering execution of the AEC Data Model roadmap, translating product strategy into scalable, high-quality systems
  • Build and evolve the engineering organization to deliver predictable execution, high quality, and operational excellence
  • Hire, mentor, and retain the next generation of engineering leaders
  • Serve as a senior leader within the AEC Data team, shaping organizational strategy, prioritization, execution, and innovation across the portfolio
  • Partner with product, platform, and ecosystem teams to drive adoption of the AEC Data Model across Autodesk's product portfolio, influencing architecture and data standards across independent teams and taking ownership of critical cross-product initiatives
  • Define the long-term evolution of Autodesk's AEC domain data model and influence broader technical strategy around domain data, interoperability, and platform architecture
  • Stay at the forefront of emerging technologies and engineering practices, identifying and driving adoption of innovations that materially improve platform capabilities and developer productivity

Minimum Qualifications

  • 15+ years of software engineering experience, with 5+ years leading managers and senior leaders across global teams
  • Demonstrated ability to adopt and scale AI-driven engineering practices to accelerate delivery and improve developer effectiveness
  • Proven track record of owning and delivering large-scale, complex systems or platforms with measurable business impact
  • Experience building and scaling high-performing engineering organizations, including org design and leadership development
  • Established history of driving operational excellence (quality, reliability, scalability, and execution predictability)
  • Deep expertise in distributed systems, cloud platforms, high-scale transactional environments, and modern software architecture patterns
  • Exceptional communication and influencing skills, with the ability to align product, platform, external, and executive stakeholders
  • Ability to understand complex business requirements and quickly and iteratively execute against them in a highly matrixed environment

Preferred Qualifications

  • Experience building or leading domain-specific data platforms (e.g., AEC, BIM, GIS, manufacturing, or other complex object models)
  • Experience with schema evolution, versioning, and backward compatibility in long-lived, large-scale systems
  • Understanding of how operational product data interfaces with analytics, AI, and downstream data platforms
  • Experience influencing industry standards, data interoperability frameworks, or open ecosystems
  • Track record of driving platform adoption across large, federated organizations
  • Advanced degree in computer science, engineering, or related field

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About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $216,000 and $387,200. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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Please search for open jobs and apply internally (not on this external site).


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About Autodesk

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Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982