Senior Machine Learning Engineer

Overview: - Kueski aims to enhance financial lives in Mexico through innovative financial services. - Recognized as a leader in BNPL and online credit in Latin America. - Known for Kueski Pay, a preferred payment solution for a significant portion of Mexico's e-commerce. - Recognized for innovation, ethical practices, and female talent inclusivity. Key Responsibilities: - Design and build scalable ML pipelines for efficient data preparation. - Develop and maintain ML pipelines, ensuring safe deployment of models. - Guide junior engineers in MLOps and scalable development practices. - Collaborate with multifunctional teams to define ML requirements and integrate solutions. - Implement robust monitoring tools for model performance in production. - Automate pipelines for serving and updating ML features. - Create APIs for serving ML models at scale. - Assist in deploying new models and implementing decision logic for ML solutions. Requirements/Skills/Qualifications: - Proven experience in scalable ML pipeline construction for production environments. - Strong software engineering and distributed computing skills (e.g., Spark, Hadoop). - Solid knowledge in ML technologies and data science tools (Pandas, Scikit-learn). - Experience with SQL, Unix systems, and cloud technologies. - Effective collaboration with product managers, engineers, and stakeholders. - Fluency in Spanish and English. - Experience with AWS and streaming frameworks is desirable. Compensation & Benefits: - Competitive salary. - Comprehensive health insurance, including major medical coverage. - Mental and emotional health programs. - Flexible work arrangements. - Commitment to diversity, equity, and inclusion. - Supportive and high-performance work environment. (Note: Specific compensation and benefits details were not provided in the original text and thus are not included in this summary.)