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Solid Edge Remote Jobs in Florida (NOW HIRING)

Navtech, Inc.

Senior React frontend developer

Miami, FL · On-site +1

$109K - $144K/yr

Miami, FL - 100% Remote Duration : 6 to 12 Months Visa: The successful candidate must meet ... cutting-edge technologies such as Typescript, React.js and Next.js, ensuring scalability ...

ITrade STEM

Lead Backend Engineer

Miami, FL · Remote

... Solid experience with WebSockets and real-time messaging systems Proven ability to design and ... Remote-first, async-friendly culture with flexible hours The chance to work on the cutting edge of ...

Octagon Talent

Lead Backend Engineer

Miami, FL · Remote

... plus · Solid experience with WebSockets and real-time messaging systems · Proven ability to ... Remote-first, async-friendly culture with flexible hours · The chance to work on the cutting edge ...

Mwe

AI Solutions QA Analyst

Boca Raton, FL · On-site +1

Azure DevOps experience strongly preferred Demonstrated ability to designboundary and edge case ... plus Solid grasp of defect tracking, test documentation, and quality metrics reporting Strong ...

Psynergy Health

Clinical Account Manager

Orlando, FL · Remote

$85K - $90K/yr

... cutting-edge technology and real-world clinical operations. This is a unique, high-impact role ... Solid understanding of virtual care delivery models, synchronous/asynchronous telehealth, and ...

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Solid Edge Remote information

What are the key skills and qualifications needed to thrive as a Solid Edge Remote designer, and why are they important?

To thrive as a Solid Edge Remote Designer, you need a strong background in mechanical or product design, CAD drafting, and a relevant engineering degree or certification. Expertise in Solid Edge CAD software, familiarity with PLM systems, and experience with remote collaboration tools are typically essential. Excellent problem-solving abilities, self-motivation, and effective communication skills help you manage projects and collaborate with distributed teams. These skills ensure accurate design delivery, efficient project workflows, and successful teamwork while working remotely.

What are some common challenges faced by Solid Edge Remote professionals when collaborating with distributed teams?

Solid Edge Remote professionals often encounter challenges related to file sharing, version control, and real-time collaboration with team members who may be in different locations or time zones. Effective communication and utilizing cloud-based PLM (Product Lifecycle Management) solutions are key to ensuring everyone is working with the latest models and data. Regular virtual meetings and clear documentation practices help keep projects on track and minimize miscommunication. Adapting to varied IT infrastructures and ensuring all team members have access to necessary software and hardware can also be hurdles that require proactive coordination.

What is the difference between Solid Edge Remote vs CAD Designer?

AspectSolid Edge RemoteCAD Designer
CredentialsCAD certification, Solid Edge proficiencyCAD certification, software proficiency
Work EnvironmentRemote, home officeOffice or remote depending on employer
Industry UsageProduct design, engineering firmsProduct design, manufacturing, architecture
Job Focus3D modeling, CAD software useDesign drafting, modeling, documentation

Solid Edge Remote primarily involves working remotely on 3D CAD modeling using Solid Edge software, often within engineering or product design firms. CAD Designers may work in similar environments but can use various CAD tools and may work onsite or remotely. While both roles require CAD skills and certifications, Solid Edge Remote emphasizes proficiency with Solid Edge and remote collaboration, whereas CAD Designer roles may involve broader CAD software expertise and different industry applications.

What is a Solid Edge Remote?

A Solid Edge Remote job involves using Solid Edge, a 3D CAD (Computer-Aided Design) software, to design and model parts, assemblies, or products while working from a location outside of a traditional office. Employees in these roles typically collaborate with teams online, share design files, and participate in virtual meetings. Remote Solid Edge professionals may work for engineering firms, manufacturing companies, or as independent contractors. The flexibility of remote work allows them to perform all design tasks using cloud-based tools or secure company connections.
What are popular job titles related to Solid Edge Remote jobs in Florida? For Solid Edge Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Solid Edge Remote jobs in Florida look for? The top searched job categories for Solid Edge Remote jobs in Florida are:
What cities in Florida are hiring for Solid Edge Remote jobs? Cities in Florida with the most Solid Edge Remote job openings:
Solid Edge Remote jobs near you
Infographic showing various Solid Edge Remote job openings in Florida as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pensacola, FL • 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