Sr. Machine Learning Engineer (San Luis)
TenOneTen
- San Luis
- Permanente
- Tiempo completo
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
As our Senior Machine Learning Engineer, you will be the primary architect and visionary for the infrastructure that powers our data-driven culture. We are looking for a powerhouse who can bridge the gap between experimental Data Science and robust, production-grade engineering. Your mission is to build, scale, and own the mission-critical ML pipelines and data platforms that serve millions of our customers daily, turning raw data into real-time decisions.
Work-Life BenefitsUnlimited PTO
Medical benefit contributions in congruence with local laws and type of employment agreementWhat You’ll DoArchitect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the \"lab\" to the \"real-world\", building the high-performance pipelines required to scale them.
Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
Escale the Data Platform: Collaborate with Data Engineers to evolve our data lake and ETL architecture
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