10 English-speaking jobs in Vila Nova de Famalicão

Job Description The IT Competence Center Supply Chain Management provides solutions for the global Supply Chain Planning at Continental Tires. We drive Artificial Intelligence based projects in this area to efficiently manage the growing complexity in a volatile business environment.

Lead the global function for AI and Application Security, setting strategy and developing a high-performing international team. Own security standards, governance, and risk assessments for applications and AI solutions.

Proactive Quality Assurance Engineer needed to drive operational excellence. Responsibilities include process improvement via data analysis, collaborating on quality standards, and leading audits. Requires an Engineering degree and English proficiency.

Product Owner / Central Key User for SAP-PM & PUMA to drive global maintenance system development and standardization. This role interfaces between business users, IT, and consultants to improve system usability and operational performance.

SAP CO IT Consultant supporting S/4HANA template build and rollout. Responsibilities include configuring core CO areas, leveraging the Universal Journal, and ensuring FI-CO integration. Requires 5+ years in SAP CO/Finance IT roles.

Develop, test, and iterate on mobile apps for Continental Tires' ContiConnect digital tire monitoring platform. Collaborate with backend developers, architects, and data engineers in a SCRUM team.

Develop new process technologies for mixing and/or extrusion to produce advanced material technologies for Continental Tires. Specify and release processes, define equipment requirements, and solve problems in a multidisciplinary setting.

Recruitment Administrator role involving screening CVs, conducting candidate interviews, and publishing job ads. Responsibilities include sourcing candidates and managing recruitment databases. Fluent English is mandatory.

Develop tools for automatic cycle time and productivity calculations, utilizing algorithm allocation and machine learning. Scope includes data analysis, simulation, material flow, and IT system validation. Requires advanced IT skills and knowledge of industrial management.

MLOps Engineer to design, deploy, and maintain scalable ML pipelines. Responsibilities include building CI/CD, managing cloud infrastructure, and optimizing model performance. Requires 3+ years experience with Python, SQL, Docker, and Kubernetes.