ZipRecruiter

Log In

2

Solid Edge Remote Jobs in Arizona (NOW HIRING)

next page

Showing results 1-20

All JobsSolid Edge JobsSolid Edge Remote JobsSolid Edge Remote Jobs in Arizona

Solid Edge Remote information

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 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 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 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 are popular job titles related to Solid Edge Remote jobs in Arizona?

For Solid Edge Remote jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Solid Edge Remote jobs in Arizona look for?

The top searched job categories for Solid Edge Remote jobs in Arizona are:

What cities in Arizona are hiring for Solid Edge Remote jobs?

Cities in Arizona with the most Solid Edge Remote job openings:

Solid Edge Remote jobs near you

Senior AI Engineer / Data Scientist

Chandler, AZ • Remote

Koantek
IT Services • 11 - 50 employees
Learn more about Koantekexternal

Contractor

Re-posted 4 days ago

Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

Apply