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Gis Machine Learning Jobs in Chicago, IL (NOW HIRING)

Gis Machine Learning information

See Chicago, IL salary details

$14

$29

$49

How much do gis machine learning jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for gis machine learning in Chicago, IL is $29.38, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $34.66 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 Chicago, IL? For Gis Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Chicago, IL look for? The top searched job categories for Gis Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Gis Machine Learning jobs? Cities near Chicago, IL with the most Gis Machine Learning job openings:

Artificial Intelligence Senior Security Engineer

Bank of America

Chicago, IL

$118K - $161K/yr

Full-time

PTO

Re-posted 19 days ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 521 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

Bank of America's Global Information Security (GIS) team is seeking a Cyber Threat Defense AI Security Senior Engineerto drive the integration of advanced AI technologies into our cyber defense ecosystem. This person will drive innovation across preventative, detective, and responsive security controls by leveraging agentic AI, custom-built machine learning models, and large language models (LLMs). This is a senior individual contributor role focused on technical innovation and subject matter expertise, working closely with leadership and engineering teams to drive AI integration into cyber defense.

This security focused subject matter expert will focus on defending usage of AI, and defending against threat actors leveraging AI. The ideal candidate will have deep expertise in AI/ML, offensive and defensive security operations, and large-scale data management.

Role Responsibilities:

  • Partner with GIS operational and technical teams to identify opportunities for AI-driven enhancements to security controls and architecture.
  • Drive the technical implementation of the design and deployment of AI-powered tools for threat hunting, anomaly detection, and automated incident response.
  • Oversee the development and operationalization of custom ML/LLM models tailored to cybersecurity use cases.
  • Guide architectural transformations to support scalable AI integration across the enterprise.
  • Act as a technical expert on AI-driven cybersecurity initiatives, mentoring junior engineers and analysts.
  • Prototype and evaluate emerging AI technologies for applicability in cyber threat detection and response.
  • Serve as a thought leader and subject matter expert on AI in cybersecurity, advising senior leadership and influencing enterprise-wide strategy.
  • Ensure responsible and ethical use of AI in security operations, including model governance, bias mitigation, and explainability.
  • Collaborate with offensive security teams to develop AI-enhanced red teaming and adversarial emulation capabilities.
  • Drive innovation in proactive defense mechanisms using predictive analytics and autonomous threat response.

Required Qualifications

  • 7+ years of hands on experience in cybersecurity, preferably Offensive Security or Cyber Threat Operations
  • Hands-on experience building agentic AI systems, LLMs, and custom ML model development.
  • Experience with enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex
  • Strong understanding of offensive security tactics and how AI can enhance red teaming, attack path mapping, and threat modeling.
  • Experience leading large-scale technical projects involving security data pipelines, model deployment, and automation.
  • Deep knowledge of cyber threat actor behaviors, attack vectors, and defensive countermeasures.
  • Ability to translate complex technical concepts into actionable strategies for senior executives.
  • Familiarity with AI governance, model risk management, and regulatory considerations in financial services.
  • Experience with modern data platforms, cloud-native architectures, and MLOps frameworks.
  • Demonstrated ability to drive consensus across diverse stakeholders and influence enterprise-wide initiatives.
  • Strong communication and presentation skills, especially in executive and cross-functional settings.

Desired Qualifications

  • Experience with AI-enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
  • Familiarity with adversarial machine learning and AI security risks.
  • Background in data engineering, feature engineering, and model lifecycle management.
  • Experience with open-source AI frameworks (e.g., PyTorch, TensorFlow, LangChain).
  • Prior work in regulated industries with a focus on compliance and risk mitigation.

Skills:

  • Artificial Intelligence
  • Critical Thinking
  • Threat Analysis
  • Cyber Security
  • Data Privacy and Protection
  • Data and Trend Analysis
  • Stakeholder Management

This job will be open and accepting applications for a minimum of seven days from the date it was posted.

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - CO - Denver - 1144 15th St - Denver Gis (CO9926), US - DC - Washington - 1800 K St NW - 1800 K Street NW (DC1842), US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540), US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100), US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101)Pay and benefits informationPay range$145,000.00 - $192,500.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

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