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Patterned Learning Ai Jobs in Chicago, IL (NOW HIRING)

Vantive

Integration Technical Architect (AWS/AI)

Deerfield, IL · On-site

$67.25 - $81.25/hr

Develop integration patterns including API design, event-driven messaging, and data synchronization ... Awareness of healthcare data standards (HL7, FHIR) is a plus AI & Machine Learning * Awareness of ...

ADDSOURCE

AI LLMOps Engineer / Lead

Chicago, IL · On-site

$105K - $139K/yr

Develop reusable AI engineering patterns, implementation playbooks, shared services, templates ... learning culture * Communicate delivery progress, operational risks, technical updates, engineering ...

New

Jimmy Jazz

Lead Data & AI Engineer

Chicago, IL · On-site

$130 - $170/hr

Build and operationalize end-to-end machine learning pipelines supporting anomaly detection ... Establish reusable AI solution patterns, documentation, best practices, and governance guardrails ...

Sabert

Lead Data & AI Engineer

Chicago, IL · Hybrid

$112K - $135K/yr

Build and operationalize end-to-end machine learning pipelines supporting anomaly detection ... Establish reusable AI solution patterns, documentation, best practices, and governance guardrails ...

Sabert Corporation

Lead Data & AI Engineer

Chicago, IL · On-site

$112K - $135K/yr

Build and operationalize end-to-end machine learning pipelines supporting anomaly detection ... Establish reusable AI solution patterns, documentation, best practices, and governance guardrails ...

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Patterned Learning Ai information

See Chicago, IL salary details

$27

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$71

How much do patterned learning ai jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for patterned learning ai in Chicago, IL is $41.92, according to ZipRecruiter salary data. Most workers in this role earn between $30.48 and $54.47 per hour, depending on experience, location, and employer.

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What are popular job titles related to Patterned Learning Ai jobs in Chicago, IL?

For Patterned Learning Ai jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Patterned Learning Ai jobs in Chicago, IL look for?

The top searched job categories for Patterned Learning Ai jobs in Chicago, IL are:

Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $87,200 per year, or $41.9 per hour.

Senior AI Engineer

Motion Recruitment Partners, LLC

Chicago, IL • On-site

$107K - $147K/yr

Other

Medical, Dental, Vision, PTO

Posted 15 days ago

Job description

Join an innovative organization that is investing heavily in Artificial Intelligence, Generative AI, and advanced machine learning capabilities to transform how the business operates and delivers value. We are seeking a Senior AI Engineer to design, develop, and deploy intelligent solutions leveraging LLMs, Python, Azure OpenAI, Machine Learning, Vector Databases, RAG architectures, and cloud-native AI technologies. This is a full-time opportunity for an experienced engineer who wants to build production-grade AI systems that directly impact business outcomes..
You'll be at the forefront of bringing AI from concept to production, building applications that employees and customers use every day. We're looking for someone who loves solving complex problems, experimenting with emerging technologies, and creating scalable AI solutions that drive measurable results. You'll have the opportunity to influence the organization's AI strategy, work with executive stakeholders, and gain hands-on experience with the latest advancements in Generative AI. If you're excited by high-impact projects, technical ownership, and the chance to help shape the future of AI within an enterprise environment, we'd love to talk with you.
Required Skills & Experience
  • 5+ years of software engineering, machine learning, or AI engineering experience
  • 2+ years building and deploying Generative AI solutions in production
  • Strong experience with Python development
  • Experience working with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Llama, etc.)
  • Experience implementing Retrieval Augmented Generation (RAG) architectures
  • Knowledge of prompt engineering and AI application design patterns
  • Experience deploying applications within Azure, AWS, or Google Cloud Platform environments
  • Strong understanding of REST APIs, microservices, and scalable system design
  • Strong communication skills and ability to translate business requirements into AI solutions
Desired Skills & Experience
  • Azure AI Foundry, Azure OpenAI, or Microsoft AI ecosystem experience
  • Experience fine-tuning or optimizing foundation models
  • LangChain, LangGraph, Semantic Kernel, or similar AI frameworks
  • Experience with ML Ops practices and model lifecycle management
  • Knowledge of NLP, recommendation engines, or predictive analytics
  • Experience developing AI agents and multi-agent workflows
  • Experience with Databricks and machine learning platforms
  • Containerization experience with Docker and Kubernetes
What You Will Be Doing
Daily Responsibilities
  • 70% Hands On
  • 30% Team Collaboration

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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