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Volunteer Python Automation Engineer Jobs in Elgin, IL

Transunion

Security Automation Engineer

Chicago, IL · On-site

Build internal tools, services, and APIs primarily in Python to expand platform capabilities and ... volunteer time off, plus corporate volunteer events that make it easy to give back. For Your ...

Zekelman

Automation Engineer - AGV Systems

Chicago, IL · On-site

Job Summary We are seeking a highly skilled Automation Engineer (AGV Specialist) to take ownership ... Experience with scripting languages like Python, C++, or SQL for database integration. * Prior ...

New

Northern Base

Lead AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

... Python, C#, .NET, SQL; Azure, Azure OpenAI, Azure DevOps, Git, CI/CD; SDLC, Agile, DevSecOps ... agentic automation/AI capabilities; provide estimates, capacity needs, risks; present ...

FIS

Quality Automation Engineer

Chicago, IL · Hybrid

As a QA Engineer, your days will be dynamic and engaging. You will play a crucial role in ensuring ... Atlassian, AWS, Python, Java, Ruby, GO, node.js, Temporal, Scala, Looker, Argo, Kubernetes ...

HartleyCo

GTM Engineer

Mundelein, IL · On-site

SQL * Python * Automation * AI agents The ideal person is already building GTM systems rather than simply using them. Maybe you're currently a: * GTM Engineer * Growth Engineer * RevOps Engineer

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All JobsVolunteer Python Automation Engineer JobsVolunteer Python Automation Engineer Jobs in Elgin, IL

Volunteer Python Automation Engineer information

See Elgin, IL salary details

$36.6K

$105.9K

$161.1K

How much do volunteer python automation engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for volunteer python automation engineer in Elgin, IL is $105,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $122,100.00 per year, depending on experience, location, and employer.

What is the difference between Volunteer Python Automation Engineer vs Python Developer?

AspectVolunteer Python Automation EngineerPython Developer
CredentialsBasic programming knowledge, possibly some automation certificationsFormal education or certifications in Python or software development
Work EnvironmentVolunteer projects, non-profit organizations, open-source communitiesCorporate, startup, or freelance development settings
Industry UsageNon-profit, open-source, community-driven projectsTechnology, finance, healthcare, and various software industries

While both roles involve Python programming, Volunteer Python Automation Engineers focus on automating tasks for non-profit or open-source projects without monetary compensation. Python Developers typically work in paid positions within companies, developing software products or solutions. The key difference lies in the work environment and compensation, though both require strong Python skills and understanding of automation.

What cities near Elgin, IL are hiring for Volunteer Python Automation Engineer jobs?

Cities near Elgin, IL with the most Volunteer Python Automation Engineer job openings:

Volunteer Python Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Chicago, IL • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply