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Weekend Digital Image Processing Jobs in Chicago, IL

Digital Marketing Coordinator

Chicago, IL · On-site +1

$30.99 - $48.35/hr

... and ongoing process improvement. This individual collaborates with colleagues within various ... Resize or crop digital images using image-editing applications * Provide virtual event support as ...

Digital Workplace Analyst

Chicago, IL · On-site

$101K - $120K/yr

Identify opportunities to replace manual processes with Power Automate or Power Apps solutions ... Manage the office pictorial directory and staff image library, ensuring images are properly sized ...

Duties include overseeing the creative process from concept through delivery, ensuring alignment ... Available to work a flexible schedule including weekends, early mornings, late evenings

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Weekend Digital Image Processing information

See Chicago, IL salary details

$11

$26

$39

How much do weekend digital image processing jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for weekend digital image processing in Chicago, IL is $26.36, according to ZipRecruiter salary data. Most workers in this role earn between $19.81 and $31.92 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Digital Image Processing jobs in Chicago, IL? The most popular types of Digital Image Processing jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Weekend Digital Image Processing jobs? Cities near Chicago, IL with the most Weekend Digital Image Processing job openings:

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

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 24 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).