Follow and improve feature development cycles, software architecture patterns, coding standards, and DevOps/MLOps best practices across the engineering team.
Review code, support the development of a culture of engineering excellence, and ensure deliverables meet security, performance, and maintainability standards.
4+ years in AI/ML engineering or software engineering, focused on building and deploying production systems.
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Implementcorrective actions and preventive measures to improve product quality andreliability.
Towork as a team to ensure compliance with all health and safety regulations andstandards to maintain a safe working environment at vendor site and in-houseworkshop.
Beable to foster open communication and collaboration within the production teamand with other departments, such as engineering, procurement, and logistics.
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Review audit findings and develop action plans to drive continuous improvements.
Generate and review quality reports on suppliers’ performance and work with suppliers to address non-conforming materials, and drive for continuous improvement.
Issue and follow up on Supplier Corrective Action Request (SCAR) to suppliers, monitor and review SCAR effectiveness for timely closure.
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