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Weekend Digital Image Processing Jobs in Hammond, IN

As is often the case in a 24/7 newsroom, availability on weekends, holidays and evenings may be ... Please be aware that Audacy will never ask you to send money at any point during the hiring process.

As is often the case in a 24/7 newsroom, availability on weekends, holidays and evenings may be ... hiring process. Communication from legitimate Audacy representatives will only come from email ...

As is often the case in a 24/7 newsroom, availability on weekends, holidays and evenings may be ... Please be aware that Audacy will never ask you to send money at any point during the hiring process.

... digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ...

Graphic Designer I

Chicago, IL · On-site

$60K - $70K/yr

... image manipulation, and production-ready file preparation. * Cross-channel collaboration to brainstorm digital asset ideas that push creativity forward. * Support the review and approval process by ...

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Weekend Digital Image Processing information

See Hammond, IN salary details

$10

$24

$36

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

As of Aug 26, 2026, the average hourly pay for weekend digital image processing in Hammond, IN is $24.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $29.86 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Digital Image Processing jobs in Hammond, IN?

The most popular types of Digital Image Processing jobs in Hammond, IN are:

Infographic showing various Weekend Digital Image Processing job openings in Hammond, IN as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $51,247 per year, or $24.6 per hour.

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

Chicago, IL • Remote

Apetan Consulting llc
IT Services • 1 - 10 employees

$80 - $150/hr

Contractor

Re-posted 13 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).