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Remote Ai Strategy Jobs in Michigan (NOW HIRING)

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

Provide technical guidance to management, team leads, and customers on AI implementation strategies ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

OneStream

AI Engineer

Birmingham, MI · Remote

... business strategy. To learn more visit www.onestream.com. Why Join The OneStream Team ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

OneStream

AI Engineer

Birmingham, MI · Remote

... business strategy. To learn more visit www.onestream.com. Why Join The OneStream Team ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

EWOR GmbH

AI Cloud Engineer (100 % remote) (m/f/d)

Ann Arbor, MI · On-site +1

$54.50 - $73/hr

Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red ... You will lead and execute core 0-to-1 initiatives in cutting-edge domains such as AI. * You will ...

New

OneStream

AI Engineer

Birmingham, MI · Remote

... business strategy. To learn more visit www.onestream.com. Why Join The OneStream Team ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

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Remote Ai Strategy information

What is a remote AI strategy?

A Remote AI Strategy role involves developing and guiding the implementation of artificial intelligence initiatives for an organization while working remotely. Professionals in this position analyze current business processes, identify opportunities for AI integration, and create roadmaps for deploying AI technologies. They collaborate with stakeholders to ensure that AI solutions align with business goals and deliver measurable value. This role requires strong analytical skills, knowledge of AI technologies, and the ability to manage projects and teams remotely.

What are the key skills and qualifications needed to thrive as a remote AI strategist?

To thrive as a Remote AI Strategist, you need a solid understanding of artificial intelligence concepts, data analytics, and strategic business planning, often supported by a degree in computer science, data science, or business. Familiarity with AI platforms, cloud computing tools (like AWS or Azure), and certifications such as AI or machine learning specializations are typically valuable. Strong communication, problem-solving, and project management skills help you collaborate across remote teams and align AI initiatives with business goals. These competencies are crucial for effectively driving AI adoption and delivering measurable business value in a remote work environment.

How do professionals in remote AI strategy typically collaborate across global teams and time zones?

Professionals in Remote AI Strategy often work with colleagues and stakeholders spread across different regions, requiring strong communication and project management skills. Collaboration is commonly facilitated through virtual meetings, shared digital workspaces, and asynchronous communication tools to ensure everyone stays aligned despite time zone differences. It's important to set clear expectations, maintain regular updates, and leverage collaboration platforms to keep projects on track. Adapting to flexible schedules and being proactive in communication are key to overcoming these challenges and ensuring effective teamwork.

What is the difference between Remote Ai Strategy vs Remote Data Scientist?

AspectRemote Ai StrategyRemote Data Scientist
Required CredentialsAI/ML certifications, advanced degrees in AI or related fieldsStatistics, data analysis, programming skills, often a degree in data science or related fields
Work EnvironmentStrategic planning, cross-functional collaboration, project managementData analysis, model development, coding, data visualization
Industry UsageTech companies, AI startups, consulting firmsTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding strategic roles in AI projectsTechnical data analysis and modeling skills

Remote Ai Strategy focuses on developing AI strategies, overseeing projects, and aligning AI initiatives with business goals. Remote Data Scientists primarily analyze data, build models, and extract insights. While both roles require technical skills, Ai Strategy emphasizes strategic planning and cross-team collaboration, whereas Data Scientists focus on technical data work.

What are the most commonly searched types of Ai Strategy jobs in Michigan?

The most popular types of Ai Strategy jobs in Michigan are:

What are popular job titles related to Remote Ai Strategy jobs in Michigan?

For Remote Ai Strategy jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Ai Strategy jobs in Michigan look for?

The top searched job categories for Remote Ai Strategy jobs in Michigan are:

What cities in Michigan are hiring for Remote Ai Strategy jobs?

Cities in Michigan with the most Remote Ai Strategy job openings:

Remote Ai Strategy jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Warren, MI • Remote

Full-time

Re-posted 14 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