Líder de Machine Learning, Data Science, IA

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Define the machine learning and AI strategy, establishing a prioritized portfolio of use cases in collaboration with Product, Compliance, and Finance.

• Build the model platform on Databricks, incorporating features, training, logging, real-time serving, and monitoring while keeping costs under control.

• Deploy the initial models, starting with transactional fraud, PLD scoring, and origination for SOFIPO credit.

• Lead generative AI and agent initiatives, including specification-driven development (SDD), agent onboarding, customer support, and Second Brain, ensuring evaluation standards, cost management, and sensitive data handling.

• Establish model governance with explainability, traceability, and documentation ready for CNBV, Banxico, and audits.

• Build the team by hiring and leading its first four members within the first 12 months.

• Report directly to technology leadership and participate in quarterly planning.

⛳️ Requirements

• 7 or more years of experience in machine learning, with production models operating at scale: high concurrency and real-time inference.

• Proven experience leading data science or machine learning engineering teams.

• Proficiency in Python and the MLOps lifecycle: training pipelines (Airflow or similar), model logging and serving, drift monitoring.

• Experience with LLMs in production: RAG, agents, evaluation, and cost control.

• Familiarity with cloud data platforms such as Databricks, Spark, and AWS.

• Ability to explain a model to non-technical areas and regulators, with the judgment to choose a simple rule when it suffices.

• Professional proficiency in English.

🏝️ Benefits

• Indefinite-term contract.

• 3-month probation period.

• 40 hours/week.

• 24 days of annual vacation.

• Ownership of the entire machine learning and AI function from day one, as the first member.

• Access to real payment data for B2B in Mexico: SPEI, direct debit, utility payments, and cross-border transactions.

• Direct reporting to technology leadership and involvement in quarterly planning.

• Budget to build your team during the first year.

• Space to experiment, propose, and build.

• Flexible work culture focused on execution.