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Ai Algorithm Engineer Jobs in Illinois (NOW HIRING)

Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... This role requires strong technical skills in machine learning, programming, and algorithms, as ...

... feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product ...

AI/ML

Chicago, IL · On-site

... feature engineering, and leveraging Generative AI algorithms for novel solutions. • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product ...

AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas ... Execute data preprocessing, feature engineering, and algorithm optimization to enhance model ...

AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas ... Execute data preprocessing, feature engineering, and algorithm optimization to enhance model ...

AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas ... Execute data preprocessing, feature engineering, and algorithm optimization to enhance model ...

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy ... algorithms. * GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI ...

AI Engineer

Chicago, IL · On-site

$130 - $170/hr

Asset Manager is seeking an elite AI Engineer with a strong foundation in software engineering and ... algorithmic solutions. * Software Development: Ability to write clean, scalable, and highly ...

AI/ ML Engineer

Northbrook, IL · On-site

$80 - $120/hr

We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a ... Write, implement, and test machine learning algorithms and models under the guidance of senior team ...

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... algorithms. * GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI ...

Solid understanding of algorithms, data structures, and software engineering principles. * Ability ... AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics ...

AI Engineer

Peoria, IL · On-site

$75K - $110K/yr

Solid understanding of algorithms, data structures, and software engineering principles. * Ability ... AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics ...

Solid understanding of algorithms, data structures, and software engineering principles. * Ability ... AI Techniques: Retrieval-Augmented Generation (RAG), AI scoring (Model Performance Metrics ...

AI Development Engineer

Northbrook, IL · Hybrid

$110K - $130K/yr

... algorithms. This role needs to have a strong mathematical and AI development background. They will be compiling large datasets from multiple sources then using AI to create and run simulations to ...

AI Engineer

Rosemont, IL · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

AI Engineer

Chicago, IL · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

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Ai Algorithm Engineer information

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

What are popular job titles related to Ai Algorithm Engineer jobs in Illinois?

For Ai Algorithm Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Ai Algorithm Engineer jobs in Illinois look for?

The top searched job categories for Ai Algorithm Engineer jobs in Illinois are:

What cities in Illinois are hiring for Ai Algorithm Engineer jobs?

Cities in Illinois with the most Ai Algorithm Engineer job openings:

Infographic showing various Ai Algorithm Engineer job openings in Illinois as of August 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI/ML Engineer

Resource Point LLC

Chicago, IL • On-site

Contractor

Re-posted 22 days ago


Job description

Position: AI/ML Engineer

Duration: 12 months

Location: Chicago, IL

Job Description

An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and training models using programming languages like Python and frameworks such as TensorFlow and PyTorch. This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software developers, and business stakeholders to align AI solutions with organizational goals.

Key Responsibilities

  • Model Development: Research, design, and implement machine learning algorithms and applications to solve business problems.
  • Data Pipeline Management: Build and manage scalable data pipelines for preprocessing, feature engineering, and data flow to train and evaluate ML models.
  • Model Training and Deployment: Train, test, and tune machine learning models, ensuring they meet quality standards and deploying them into production environments.
  • Performance Monitoring and Optimization: Monitor the performance of trained models, retrain them as needed, and optimize them for better performance.
  • Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI into applications and achieve project goals.
  • Stay Updated: Keep abreast of emerging AI and machine learning technologies and best practices to enhance institutional capabilities.

Required Skills & Qualifications

  • Programming Languages: Proficiency in Python, Java, or R, Golang
  • Machine Learning Frameworks: Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn.
  • Concepts: Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision.
  • Tools: Familiarity with Git for version control and cloud platforms for scalable solutions.
  • Soft Skills: 
  • Collaboration: Ability to work effectively in multidisciplinary teams.
  • Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. 
  • Problem-Solving: Strong analytical and problem-solving skills to design and implement effective AI solutions.