ZipRecruiter

Log In

2

Hourly Remote Machine Learning Engineer Jobs in Wixom, MI

OneStream

AI Engineer

Birmingham, MI · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

OneStream

AI Engineer

Birmingham, MI · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

OneStream

AI Engineer

Birmingham, MI · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

previous pagenext page

Showing results 21-40

All JobsHourly Machine Learning Engineer JobsHourly Remote Machine Learning Engineer JobsHourly Remote Machine Learning Engineer Jobs in Wixom, MI

Hourly Remote Machine Learning Engineer information

See Wixom, MI salary details

$24.4K

$40.8K

$84.3K

How much do hourly remote machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for hourly remote machine learning engineer in Wixom, MI is $40,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Wixom, MI look for?

The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Wixom, MI are:

What cities near Wixom, MI are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities near Wixom, MI with the most Hourly Remote Machine Learning Engineer job openings:

Hourly Remote Machine Learning Engineer jobs near you
Infographic showing various Hourly Remote Machine Learning Engineer job openings in Wixom, MI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $40,816 per year, or $19.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Ann Arbor, MI • Remote

Full-time

Re-posted 15 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