• Optimize Inference: Build and tune production LLM serving with vLLM and SGLang • Profile & Accelerate Training: Instrument and profile training runs to find bottlenecks • Engineer for the Hardware: Apply a working understanding of GPU architecture • Serve at Scale: Deploy and operate multiple models within shared GPU clusters on GKE • Drive Efficiency: Own GPU utilization as a first-class metric • Collaborate & Consult: Work directly with clients to understand performance requirements

• Design and build our central MLOps Platform covering the complete ML lifecycle • Architect robust CI/CD workflows and self-service capabilities • Partner with Data Scientists, ML Engineers, and Infrastructure teams • Establish and evangelize MLOps best practices across the organization • Optimize infrastructure costs and enhance observability

• Desarrollar, mantener y optimizar modelos de Machine Learning aplicados a sistemas de recomendación y selección de creatividades publicitarias. • Trabajar sobre el recommendation engine para identificar qué anuncios funcionan mejor según cliente, campaña, audiencia y contexto. • Analizar datos de performance para detectar patrones, oportunidades de mejora y nuevas hipótesis de modelado. • Proponer, validar e implementar nuevos enfoques que mejoren la toma de decisiones dentro de la plataforma. • Participar en el ciclo de vida completo del modelo: análisis, feature engineering, entrenamiento, deploy, monitorización y mantenimiento. • Colaborar con el equipo creativo para entender sus necesidades y traducirlas en soluciones técnicas basadas en datos. • Trabajar junto al equipo de Machine Learning, MLOps y tecnología para llevar modelos a producción de forma robusta, escalable y mantenible.

• The Principal Machine Learning Engineer is responsible for building Machine learning models based on diverse business requirements, setting up the pipelines, and assisting in delivering thoughtful experiences for our partners. This role works in partnership with cross-functional teams to contribute to the development of cutting-edge ML solutions. • Builds/ Optimizes machine learning models. • Researches, analyzes, and documents findings. • Assists in delivering production grade machine learning services that power the ConnectWise platform and products. • Designs and maintains machine learning infrastructure. • Informs, influences, supports, and executes on product decisions and product launches. • Works with cross-functional teams to ensure that proper data pipelines are established to ensure availability of high-quality data.