1

Volunteer Image Processing Engineer Jobs in Chicago, IL

Experience in image processing systems ? Experience in TCP/IP communication ? Experience in text-based programming (C/C++/C# preferred) ? Knowledge of internal vision hardware and designs, optics ...

We treat people with respect, as we are all created in God's image. * We are a diverse family that ... Process Engineering: Create and maintain all Camcraft process prints utilizing CAD software. Design ...

JOB SUMMARY The Process Engineer is responsible for providing hands-on process improvements using a ... Regular and consistent attendance, including overtime whether on a voluntary or mandatory basis.

Sr. Process Engineer

Oak Brook, IL · On-site

$105K - $135K/yr

The Engineer also leads development and documentation of new sterilization processes. In ... Voluntary benefits including Critical Illness, Accident, Hospital Indemnity and Pet Insurance

next page

Showing results 1-20

Volunteer Image Processing Engineer information

See Chicago, IL salary details

$5

$64

$92

How much do volunteer image processing engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for volunteer image processing engineer in Chicago, IL is $64.47, according to ZipRecruiter salary data. Most workers in this role earn between $53.51 and $68.85 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Image Processing Engineer jobs in Chicago, IL? The most popular types of Image Processing Engineer jobs in Chicago, IL are:

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 29 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).