Principal Engineer – AI/ML

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Switzerland Global Enterprise

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1927

🤝 B2B

🛍️ Comércio Eletrônico

B2B • eCommerce • Export

Switzerland Global Enterprise é uma plataforma nacional que oferece suporte às empresas na Suíça para promover seus produtos e serviços em mercados internacionais. A organização oferece diversos serviços, incluindo orientação para entrada em mercados, oportunidades de networking e informações sobre regulamentações de comércio exterior, ajudando as empresas suíças a expandir-se com sucesso e prosperar globalmente.

Descrição

• Lead the end-to-end product development lifecycle for industrial software solutions, from concept to deployment, ensuring alignment with customer requirements and operational constraints. • Define and oversee software architecture for complex industrial environments, guaranteeing reliability, scalability, and compliance with industry standards. • Collaborate cross-functionally with engineering, product management, and commercial teams to deliver solutions that meet internal and external customer expectations. • Integrate AI/ML capabilities at a conceptual level, ensuring the team understands and applies relevant algorithms where appropriate with safety-by-design, and work with data scientists. • Act as a technical leader, providing strategic direction and mentoring team members. • Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP). • Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. • Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. • Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. • Provide key technical direction to large projects during contract execution phase. • Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. • Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. • Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations. • Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits. • Support Consulting Engineers to safeguard design qualities. • Organize lessons-learnt in one’s own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes. • Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs. • Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues. • Develop technical competencies by establishing and delivering structured technical training schemes within one’s own business lines. • Support Consulting Engineers in reviewing Engineering competency frameworks specific to one’s own business line. • Actively support Consulting Engineers with staff development & succession planning. • Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer. • Actively mentor and coach identified high potential Engineering talents within one’s business lines.

🎯 Requisitos

• Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics. • At least 10 years of experience in an engineering capacity • Proven experience delivering software products for external customers (not limited to internal IT systems). • Strong background in software architecture and design for industrial environments. • Experience with Machine Learning technologies, and software systems architecture • Experience working in an industrial environment, with safety approach • Ability to work across organizations in a matrix environment • Preferably having taken a Senior Engineer role • Strong oral and written communication skills • Strong interpersonal, responsive and leadership skills • Problem analysis and resolution skills • Able to pursue Engineering integrity in adverse conditions • Able to interface effectively with most levels of the organization • Lean experience preferred

🏖️ Benefícios

• Relocation Assistance Provided: No