AI/ML Architect
October 20
Description
• As an AI/ML Architect at the company, you will be instrumental in designing and deploying advanced AI/ML solutions that align with our core business objectives, such as fraud detection and generative AI. • Embedded within the data organization, you will serve both internal and external stakeholders—GTM, product, engineering, and others—to ensure seamless integration of machine learning models and AI applications into our overarching data platform. • Key member of the senior leadership team reporting to CTO and intimate collaboration with CEO and Product to complete the PLC (Product Life Cycle); • Data lifecycle advocate, and when required, a builder that can apply frameworks that balance the short-term needs with the need to build reusable core capabilities for scalable growth over the long term; • Exceptional ability to reduce implementation complexity, scale, and mature delivery operations and accelerate launch cycles; • Define, understand, and test opportunities and levers to improve the product through AI/ML models and applications, and drive AI/ML-modeling roadmaps through insights and recommendations. • Drive the development (including pathfinding) and deployment of machine learning models and AI solutions to enhance our products. • Contribute to advancing the AI/ML and data landscape at the company by driving product innovation and identifying opportunities to enhance our offerings for clients.
Requirements
• 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.
Benefits
• 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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