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Volunteer Rpa Analyst Jobs in Michigan (NOW HIRING)

Ford Motor Company

Director, Warranty

Dearborn, MI · On-site

Familiarity with digital finance technologies, including AI, Robotic Process Automation (RPA), advanced analytics, and modern ERP systems * Proven experience working closely with executive leadership ...

Ford Motor Company

Director, Warranty

Dearborn, MI · On-site

Familiarity with digital finance technologies, including AI, Robotic Process Automation (RPA), advanced analytics, and modern ERP systems * Proven experience working closely with executive leadership ...

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Volunteer Rpa Analyst information

What is the role of Volunteer RPA analyst?

A Volunteer RPA Analyst is responsible for analyzing business processes to identify opportunities for automation using Robotic Process Automation (RPA) tools. They design, test, and implement automation workflows, often working with platforms like UiPath or Automation Anywhere, to improve efficiency and reduce manual effort. Strong analytical skills and knowledge of RPA software are essential for this role.

Is a Volunteer RPA analyst a growing field?

The role of a Volunteer RPA Analyst is part of the expanding automation industry, which is experiencing significant growth due to increased adoption of robotic process automation tools like UiPath and Automation Anywhere. As organizations seek to improve efficiency, demand for skills in process analysis, scripting, and automation implementation is expected to rise, making this a promising field for those interested in automation and data analysis.

How to get a volunteer RPA analyst job?

To secure a volunteer RPA analyst position, develop skills in robotic process automation tools like UiPath or Automation Anywhere, and gain understanding of process analysis and scripting. Building a portfolio of automation projects and obtaining relevant certifications can improve your chances, along with networking in professional communities. Volunteer roles often require flexibility and a willingness to learn new technologies.
What are popular job titles related to Volunteer Rpa Analyst jobs in Michigan? For Volunteer Rpa Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Volunteer Rpa Analyst jobs in Michigan look for? The top searched job categories for Volunteer Rpa Analyst jobs in Michigan are:
Volunteer Rpa Analyst jobs near you
Infographic showing various Volunteer Rpa Analyst job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Allendale, MI • On-site

Other

Re-posted 20 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