Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Kueski, a leading fintech company in Latin America, is revolutionizing financial access in Mexico through their Buy Now Pay Later (BNPL) and online credit services. As a Senior Machine Learning Engineer, you'll be at the forefront of developing cutting-edge ML infrastructure that powers real-time risk assessments, resource optimization, and personalized customer offerings. The role combines advanced ML engineering with practical fintech applications, working in a company recognized by CNBC as one of the World's Best FinTech Companies in 2024.
The position offers an opportunity to impact financial inclusion in Mexico, where over half the population lacks access to traditional banking services. You'll be responsible for building scalable ML pipelines, implementing MLOps practices, and developing robust infrastructure for model deployment. The role requires expertise in distributed computing, ML technologies, and cloud platforms, with a focus on creating production-ready solutions.
Kueski offers a collaborative, high-performance environment with a strong focus on diversity, equity, and inclusion. The company has received multiple recognitions, including certification as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025. You'll enjoy comprehensive benefits, including medical insurance, mental health support, and flexible working arrangements, while working with a team dedicated to improving financial access for millions of Mexicans.
The ideal candidate will combine technical expertise in ML engineering with strong collaborative skills, contributing to both technical implementation and team leadership. This role offers the perfect blend of technical challenge and social impact, making it an excellent opportunity for experienced ML engineers looking to make a difference in financial inclusion.
Responsibilities For Senior Machine Learning Engineer
- Design and build scalable pipelines for efficient data preparation
- Create automated and reliable Machine Learning pipelines for secure model deployment
- Guide and advise junior engineers on MLOps best practices and scalable development
- Collaborate with cross-functional teams to define requirements and integrate ML solutions
- Implement robust monitoring tools to ensure model performance in production
- Develop tools for real-time and batch model deployment
- Build and automate pipelines to serve and update ML features, both offline and in production
- Implement QA processes for models and pipelines before deployment
- Promote MLOps practices and improve model operations reliability
- Create APIs to serve Machine Learning models at scale
- Occasionally assist in deploying new models or implementing decision logic for ML solutions
Requirements For Senior Machine Learning Engineer
- Proven experience in building scalable ML pipelines for production environments
- Strong experience in software engineering and distributed computing (e.g., Spark, Hadoop)
- Solid knowledge of ML engineering technologies and Data Science tools like Pandas and Scikit-learn
- Experience with SQL, Unix-based systems, and cloud technologies
- Ability to collaborate effectively with Product Managers, engineers, and other stakeholders
- Fluency in Spanish and English
- Experience with AWS technologies and streaming frameworks (desired)
Benefits For Senior Machine Learning Engineer
- Competitive salary
- Major medical insurance
- Mental and emotional health programs
- Flexible work schedule
- Career development opportunities
- Diverse and inclusive work environment
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