Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Kueski is Latin America's leading Buy Now, Pay Later (BNPL) and online consumer credit platform, with a mission to improve the financial lives of people in Mexico. Since 2012, they've been pioneering innovative financial services, including being the first to introduce BNPL on Amazon Mexico. The Data Science team drives this mission by developing machine learning solutions that enable real-time risk assessments, resource optimization, and personalized customer offerings.
As a Senior Machine Learning Engineer, you'll be at the forefront of building scalable infrastructure that powers these solutions, enabling agile experimentation and deployment of machine learning models. The role involves designing and implementing robust ML pipelines, mentoring junior engineers, and collaborating with cross-functional teams to deliver impactful solutions.
The company has been recognized for its achievements, including being named the best BNPL platform by Fintech Breakthrough in 2023 and one of Mexico's most ethical companies by AMITAI. They foster a culture focused on innovation, collaboration, and impact, promoting a strong, diverse, and inclusive business environment.
This position offers an opportunity to work on meaningful problems, as more than half of Mexico's population lacks access to financial products due to traditional banking limitations. You'll be part of a team using cutting-edge technology to bridge this gap, while enjoying benefits like competitive compensation, health insurance, and flexible work arrangements.
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
- Foster MLOps practices adoption 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 building scalable ML pipelines for production environments
- Strong experience in software engineering and distributed computing (e.g., Spark, Hadoop)
- Solid knowledge in 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
- Collaborative and high-performance environment
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