October 20
• Design and deploy advanced AI/ML solutions for business objectives, including fraud detection and generative AI • Collaborate with internal and external stakeholders to integrate AI/ML models into the data platform • Advocate for the data lifecycle and balance short-term needs with reusable core capabilities for scalable growth • Reduce implementation complexity and accelerate launch cycles through AI/ML modeling roadmaps • Advance the AI/ML landscape through product innovation and drive client offerings improvements • Mentor team members and lead experiments in AI/ML
• 7+ years of combined experience in AI/ML, focusing on developing product-driven solutions and features, supervised/unsupervised machine learning, and generative AI • Proven expertise in collaborating with product teams to align AI/ML models with feature development and business goals • Experience in building, deploying, and scaling ML models that directly impact product offerings • Strong knowledge of data journey, architecture, and engineering practices, ensuring seamless integration of AI/ML solutions within broader product and data ecosystems • Early-stage startup proved experience, exhibiting the ability to balance both leadership and hands-on "maker" work • Understanding of business metrics like KPIs, OKRs, and AI product performance metrics to drive decisions and measure success • Ability to translate technical AI/ML solutions into practical, real-world applications while enjoying the process of experimenting, conducting research, and pushing the combined boundaries of innovation & time to market • Bonus: Experience with Fintech AI applications, and being based in Mexico is a plus.
• Performance bonus equivalent to 1-2x monthly amount • ESOP grant equivalent to 2-3x monthly amount • Monthly stipend for medical insurance and utilities • 3 weeks of paid leave • 2 weeks of paternity leave • Work from anywhere! • Structured Independent Development Plan (IDP) and on-the-job training • Business travel stipend (if required)
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