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Freelance Rpa Developer Jobs in Detroit, MI (NOW HIRING)

Leverage all available technologies, primarily native API's, RPA technologies and Microsoft ... Monitor service requests, directing requests to appropriate developers

ESYS AUTOMATION, LLC Profession (Job Category): Engineering & Science Job Schedule: Full time ... Apply cycle time improvement strategies to optimize robotic applications * Confirm robot models and ...

ESYS AUTOMATION, LLC Profession (Job Category): Engineering & Science Job Schedule: Full time ... Experience with robotic and third party vision systems Other Details: * Must be able to travel 35 ...

Senior Robotics Process Engineer

Lake Orion, MI · On-site

$96K - $132K/yr

ESYS AUTOMATION, LLC Profession (Job Category): Engineering & Science Job Schedule: Full time ... Experience with robotic and third party vision systems Other Details: * Must be able to travel 35 ...

ESYS AUTOMATION, LLC Profession (Job Category): Engineering & Science Job Schedule: Full time Remote: No As a Robotics Process Engineer I, you will work with some of the most talented engineers in ...

If you enjoy working with robotics, controls, and production systems-and like seeing your work come ... programming, and on-site support to deliver reliable, safe, and high-performing automation systems ...

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Freelance Rpa Developer information

See Detroit, MI salary details

$9

$54

$90

How much do freelance rpa developer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for freelance rpa developer in Detroit, MI is $54.47, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $59.81 per hour, depending on experience, location, and employer.

What is the difference between Freelance Rpa Developer vs Rpa Developer?

AspectFreelance Rpa DeveloperRpa Developer
CredentialsTypically certifications like UiPath, Automation Anywhere, or Blue Prism; self-taught skills also commonSame certifications required; often employed full-time or contract roles
Work EnvironmentIndependent, remote or on-site freelance projectsUsually in a corporate or team setting, either remote or on-site
Employer & Industry UsageClients across various industries, project-based workOrganizations implementing RPA solutions internally
Search & Comparison IntentLooking for freelance opportunities or contract workSeeking full-time or permanent RPA roles

In summary, Freelance Rpa Developers work independently on diverse projects for multiple clients, often remotely, while Rpa Developers are typically employed by organizations to develop and maintain RPA solutions internally. Both roles require similar certifications and skills, but differ mainly in work setting and employment type.

What are popular job titles related to Freelance Rpa Developer jobs in Detroit, MI? For Freelance Rpa Developer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Freelance Rpa Developer jobs in Detroit, MI look for? The top searched job categories for Freelance Rpa Developer jobs in Detroit, MI are:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Warren, MI • Remote

Other

Posted 24 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.