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Associate Artificial Intelligence Machine Learning Jobs in Romeoville, IL

Cyber Manager - AI SOC

Chicago, IL

$114K - $154K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response ...

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$105K - $139K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Chicago, IL An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and ...

Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering-through internal communities and training paths. * Collaborate with national teams on projects that ...

Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering-through internal communities and training paths. * Collaborate with national teams on projects that ...

Showing results 41-60

Associate Artificial Intelligence Machine Learning information

See Romeoville, IL salary details

$32.1K

$135.7K

$320.7K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate artificial intelligence machine learning in Romeoville, IL is $135,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $206,000.00 per year, depending on experience, location, and employer.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Romeoville, IL?

The most popular types of Artificial Intelligence Machine Learning jobs in Romeoville, IL are:

What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL?

For Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL, the most frequently searched job titles are:

What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL look for?

The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Associate Artificial Intelligence Machine Learning jobs?

Cities near Romeoville, IL with the most Associate Artificial Intelligence Machine Learning job openings:

Infographic showing various Associate Artificial Intelligence Machine Learning job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $135,671 per year, or $65.2 per hour.

Cyber Manager - AI SOC

Deloitte

Chicago, IL

$114K - $154K/yr

Full-time

Re-posted 23 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description


As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations through security information and event management, security orchestration automation and response, detection engineering, telemetry, automation, and artificial intelligence-enabled workflows. In this embedded, client-facing role, you will work directly with client stakeholders to understand operational pain points, design practical solutions, and deploy capabilities in live or near-live environments. You will help translate ambiguous requirements into production-ready workflows, integrations, detections, and automation outcomes.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Leading the design and implementation of secure, scalable security operations solutions across security information and event management, security orchestration automation and response, telemetry, case management, and response platforms
  • Serving as an embedded engineering lead with client teams to translate operational workflows and requirements into production-ready security capabilities
  • Overseeing the deployment of log ingestion, normalization, enrichment, routing, detection, and orchestration workflows using application programming interfaces, connectors, and data pipelines
  • Guiding the application of automation and artificial intelligence to security operations use cases such as triage assistance, workflow orchestration, alert summarization, and response recommendations
  • Mentoring junior practitioners and contributing reusable engineering assets, accelerators, and implementation patterns that support client delivery and practice growth

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients defend against advanced threats by improving security operations, detection engineering, monitoring, automation, analytics, and threat intelligence capabilities. The team works with organizations to strengthen operational resilience, manage evolving attack surfaces, and improve readiness, response, and recovery through scalable engineering and transformation solutions.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 10+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Hands-on experience designing, implementing, and optimizing security information and event management, security orchestration automation and response, detection, telemetry, and response workflows across one or more enterprise security platforms
  • Experience building and maintaining integrations, automations, and engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, attack surface management, threat intelligence platforms, endpoint detection and response, and case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response patterns
  • Experience with frameworks or tools that support artificial intelligence-enabled engineering workflows
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, cloud security, or related engineering certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Qualifications:

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations through security information and event management, security orchestration automation and response, detection engineering, telemetry, automation, and artificial intelligence-enabled workflows. In this embedded, client-facing role, you will work directly with client stakeholders to understand operational pain points, design practical solutions, and deploy capabilities in live or near-live environments. You will help translate ambiguous requirements into production-ready workflows, integrations, detections, and automation outcomes.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Leading the design and implementation of secure, scalable security operations solutions across security information and event management, security orchestration automation and response, telemetry, case management, and response platforms
  • Serving as an embedded engineering lead with client teams to translate operational workflows and requirements into production-ready security capabilities
  • Overseeing the deployment of log ingestion, normalization, enrichment, routing, detection, and orchestration workflows using application programming interfaces, connectors, and data pipelines
  • Guiding the application of automation and artificial intelligence to security operations use cases such as triage assistance, workflow orchestration, alert summarization, and response recommendations
  • Mentoring junior practitioners and contributing reusable engineering assets, accelerators, and implementation patterns that support client delivery and practice growth

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients defend against advanced threats by improving security operations, detection engineering, monitoring, automation, analytics, and threat intelligence capabilities. The team works with organizations to strengthen operational resilience, manage evolving attack surfaces, and improve readiness, response, and recovery through scalable engineering and transformation solutions.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 10+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Hands-on experience designing, implementing, and optimizing security information and event management, security orchestration automation and response, detection, telemetry, and response workflows across one or more enterprise security platforms
  • Experience building and maintaining integrations, automations, and engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, attack surface management, threat intelligence platforms, endpoint detection and response, and case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response patterns
  • Experience with frameworks or tools that support artificial intelligence-enabled engineering workflows
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, cloud security, or related engineering certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Education:Bachelor's DegreeEmployment Type:

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