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Remote Machine Learning Robotics Jobs in Michigan

AI Engineer

Troy, MI ยท On-site +1

$78K - $82K/yr

... remote. The AI Engineer plays a pivotal role in advancing Detroit Defense's mission across the ... Build, train, and evaluate machine learning models for classification, prediction, and simulation ...

New

Practice Manager - AI & Data

Troy, MI ยท On-site +1

$160K - $190K/yr

Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ... REMOTE/HYBRID AND/OR CALIFORNIA, COLORADO, MARYLAND, CONNECTICUT, ILLINOIS, MINNESOTA, VERMONT ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

Domain Expert - (STEM PhD)

Detroit, MI ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Controls Engineer

Detroit, MI ยท On-site +1

$82K - $106K/yr

... robotics, and machine vision in safety-critical, high-throughput industrial environments. If you ... This is a remote role. Travel will be required throughout the USA and Canada and some other ...

Controls Engineer

Detroit, MI ยท Remote

$82K - $106K/yr

... robotics, and machine vision in safetycritical, highthroughput industrial environments. If you ... This is a remote role. Travel will be required throughout the USA and Canada and some other ...

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Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Michigan? For Remote Machine Learning Robotics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Michigan look for? The top searched job categories for Remote Machine Learning Robotics jobs in Michigan are:
What cities in Michigan are hiring for Remote Machine Learning Robotics jobs? Cities in Michigan with the most Remote Machine Learning Robotics job openings:

Custom GPT Expert / AI Consultant (Remote, Contract) (Remote)

Augusto Digital

Grand Rapids, MI โ€ข On-site, Remote

Contractor

Posted 22 days ago


Job description

Are you an AI enthusiast with a knack for building proof-of-concept (PoC) and minimum viable product (MVP) solutions? We're looking for a ChatGPT Expert / AI Consultant to help clients define, prototype, and implement custom AI-driven solutions.
About the Role
As a ChatGPT Expert, you will work directly with clients to design, develop, and refine AI-powered PoCs and MVPs. Your expertise in custom GPT implementations, prompt engineering, API integrations, and workflow automation will play a key role in helping businesses validate AI use cases before full-scale development.
This is a remote contract position, ideal for a self-starter who enjoys rapid prototyping and working with emerging AI technologies.
Key Responsibilities
  • Consult with clients to understand business needs and define AI-powered PoC/MVP requirements.
  • Create Custom GPT's by working with clients' own data.
  • Design and develop lightweight AI prototypes and MVPs leveraging custom GPTs and OpenAI APIs.
  • Implement and fine-tune GPT models for specific industry use cases.
  • Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG).
  • Integrate AI into client workflows using APIs, automation tools, and third-party systems.
  • Provide technical guidance on AI feasibility, limitations, and scalability for future development.
  • Stay ahead of AI trends to recommend best practices and innovative solutions.

Requirements
  • Proven experience working with ChatGPT, OpenAI APIs, or other LLMs in a consulting or development role.
  • Strong knowledge of prompt engineering, RAG, fine-tuning, and AI customization.
  • Experience with PoC and MVP development, including rapid prototyping methodologies.
  • Proficiency in API integration and automation tools (e.g., Zapier, LangChain, vector databases).
  • Ability to translate business goals into functional AI solutions.
  • Strong communication and problem-solving skills, especially in a remote consulting environment.

Preferred Qualifications
  • Background in AI, NLP, machine learning, or software development.
  • Experience working with AI-powered chatbots, automation platforms, or enterprise AI solutions.
  • Familiarity with ethical AI practices, compliance, and data security considerations.

Why Join Us:
Impactful Work: Contribute to projects that make a significant impact on healthcare and other industries.
Professional Growth: Opportunities for continuous learning and development in a dynamic and supportive environment.
Collaborative Culture: Work with a team of skilled professionals who are passionate about delivering value and driving growth.
Innovation: Be part of a company that values innovation and encourages new ideas and approaches.
How to Apply:
Interested candidates should submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position to [insert application email or link].
**Augusto Digital is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**
Join us at Augusto Digital and help us turn data into actionable insights that drive growth and innovation!