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Remote Engineered Wood Designer Jobs in Michigan

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

Nityo Infotech

Network Cloud Engineer

Ann Arbor, MI · Remote

This is remote position. Below is the detailed . If interested & want to discuss more about the ... Experience designing and deploying GCP public cloud infrastructures and services Hands on ...

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Remote Engineered Wood Designer information

What does a remote engineered wood designer do?

A Remote Engineered Wood Designer specializes in creating detailed plans and specifications for engineered wood products such as trusses, beams, and joists, working from a remote location. They use computer-aided design (CAD) software to design structural components that meet building codes and project requirements. Their role often involves collaborating with architects, engineers, and contractors to ensure the wood products integrate seamlessly with overall building plans. In addition to design, they may provide technical support and make adjustments based on project feedback.

What are the key skills and qualifications needed to thrive as a remote engineered wood designer?

To thrive as a Remote Engineered Wood Designer, you need a solid background in structural engineering, wood design principles, and relevant education such as a degree in civil or structural engineering. Familiarity with CAD software, structural analysis programs (like AutoCAD, Revit, or MiTek), and knowledge of building codes are typically required, and certifications such as EIT or PE can be advantageous. Strong problem-solving skills, attention to detail, and effective remote communication are crucial soft skills in this role. These competencies ensure safe, efficient, and code-compliant wood structure designs while enabling collaboration across distributed teams and meeting client expectations.

How does a remote engineered wood designer typically collaborate with architects, engineers, and construction teams during a project?

As a Remote Engineered Wood Designer, you will regularly coordinate with architects, structural engineers, and construction teams through virtual meetings, digital plan reviews, and shared project management platforms. Clear communication is essential, as you’ll interpret architectural drawings and engineering specifications to create detailed wood component layouts and shop drawings. You’ll often provide technical support, answer design queries, and make necessary revisions based on feedback. Maintaining strong digital collaboration skills ensures projects stay on schedule and meet quality standards, even when working from a distance.

What are the most commonly searched types of Engineered Wood Designer jobs in Michigan?

The most popular types of Engineered Wood Designer jobs in Michigan are:

What are popular job titles related to Remote Engineered Wood Designer jobs in Michigan?

For Remote Engineered Wood Designer jobs in Michigan, the most frequently searched job titles are:

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Remote Engineered Wood Designer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Flint, MI • Remote

Full-time

Re-posted 17 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