
Senior Machine Learning Engineer
Posted May 24

Posted May 24
This is a fully remote position, open to applicants in Uruguay.
• Oversee the creation and implementation of sophisticated machine learning models and scalable systems that drive essential business decisions.
• Construct production-ready machine learning solutions characterized by thorough testing and scalable architecture.
• Enhance forecasting and optimization models utilizing XGBoost and advanced machine learning methodologies.
• Develop data pipelines and machine learning workflows that convert raw data into actionable business insights.
• Transition research into practical applications through experimentation, iteration, and deployment.
• Incorporate machine learning systems into actual business operations and user-facing applications.
• Lead initiatives for model explainability utilizing SHAP values and insights powered by large language models.
• Work collaboratively with Growth, Marketing Science, Product, and Engineering teams.
• Shape technical strategy while ensuring alignment of machine learning initiatives with business outcomes.
• Guide team members and contribute to the elevation of engineering and machine learning standards throughout the organization.
• A minimum of 5 years of experience in building and deploying machine learning systems in a production environment.
• Profound knowledge in Python, SQL, and contemporary machine learning frameworks.
• Proven experience with XGBoost, forecasting models, and scalable machine learning pipelines.
• Comprehensive understanding of MLOps, testing methodologies, CI/CD, and data engineering practices.
• Familiarity with the AWS ecosystem, MLFlow, or similar cloud-based machine learning tools.
• Strong grasp of the machine learning lifecycle, experimentation frameworks, and model optimization techniques.
• Capacity to clearly articulate technical concepts to both technical and non-technical stakeholders.
• Experience in growth, marketing, e-commerce, or high-scale digital environments is highly advantageous.
• Fully remote work environment.
• Competitive salary in USD.
• Paid time off.
• Additional perks.
Mercafacil
Hyatt
Scopic
Perform
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