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Ai Algorithm Engineer Jobs in Frankfort, IL (NOW HIRING)

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

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 ...

Hedge Fund

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 ...

Pwc

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 ...

Oden Technologies Ltd

Solutions Engineer

Chicago, IL · On-site

We combine large-scale data processing architectures and advanced AI and ML algorithms within the ... The Solutions Engineer is a core member of Oden's post-sales team, responsible for delivering the ...

Cuboid IT Solutions

AI Architect

Chicago, IL · On-site

The ideal candidate will have extensive experience Design and Implement AI/ML Models and Algorithms ... Strong working knowledge of data engineering technologies, data modeling tools, and ETL strategies.

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All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Frankfort, IL

Ai Algorithm Engineer information

See Frankfort, IL salary details

$58.5K

$109.7K

$199.5K

How much do ai algorithm engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai algorithm engineer in Frankfort, IL is $109,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $130,200.00 per year, depending on experience, location, and employer.

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 cities near Frankfort, IL are hiring for Ai Algorithm Engineer jobs?

Cities near Frankfort, IL with the most Ai Algorithm Engineer job openings:

Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in Frankfort, IL as of August 2026, with employment types broken down into 72% Full Time, 20% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $109,708 per year, or $52.7 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Chicago, IL • Remote

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $150/hr

Contractor

Re-posted 14 days ago

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).