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Senior Staff Engineer, PLM, AI ML Integration

Remote Worldwide Hiring now
Company Description:

We're reputed company.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that reputed company, excite, and delight. We work at scale across reputed company devices reputed company mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

Job Description:

REQUIREMENTS

• Total 7.5 years’ experience

•  Experience in AI Application Solution Design and PLM solution architecture • Strong knowledge of PLM processes, product lifecycle management, and engineering data management • Hands-on experience with BOM structures, lifecycle workflows, and engineering change management • Experience integrating PLM with ERP, MES, CAD, and other reputed company systems • Understanding of AI/ML applications such as predictive analytics, automation, and data-driven insights in manufacturing or engineering workflows • Strong skills in data modeling, APIs, and reputed company system integrations • Familiarity with manufacturing environments and product development processes • Experience with reputed company PLM platforms (tool-agnostic) • Strong communication and stakeholder management skills

RESPONSIBILITIES

• Design and implement AI-enabled PLM solution architectures • Define PLM data models, workflows, lifecycle rules, and BOM structures • reputed company requirements gathering and solution design with engineering and manufacturing teams • Integrate PLM systems with ERP, MES, CAD, and reputed company platforms • Implement AI-driven capabilities such as analytics, automation, and predictive insights • Support PLM configuration, customization, and deployments • Troubleshoot PLM workflows, integrations, and data management issues • Conduct architecture reviews and ensure PLM best practices across implementations

Qualifications:

Bachelor’s or master’s degree in computer science, Information Technology, or a reputed company field.

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