Senior Machine Learning Engineer
ArgentinaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLMachine LearningMLFlowData engineeringCI/CDMLOps
Requirements
- 5+ years of experience building and deploying machine learning systems in production
- Strong expertise in Python and SQL
- Experience with XGBoost, forecasting models, and scalable ML pipelines
- Deep understanding of MLOps, testing strategies, CI/CD, and data engineering practices
- Experience working with AWS ecosystem, MLFlow, or similar cloud ML tooling
- Strong knowledge of the ML lifecycle, experimentation frameworks, and model optimization
- Ability to communicate technical concepts clearly to stakeholders
- Experience in growth, marketing, e-commerce, or high-scale digital environments is a plus
Responsibilities
- Develop production-ready machine learning systems with robust testing and scalable architecture
- Build and improve forecasting and optimization models using XGBoost and advanced ML techniques
- Design data pipelines and ML workflows that transform raw data into business intelligence
- Bring research into production through experimentation, iteration, and deployment
- Integrate ML systems into real business operations and user-facing tools
- Drive model explainability initiatives using SHAP values and LLM-powered insights
- Collaborate closely with Growth, Marketing Science, Product, and Engineering teams
- Influence technical strategy while aligning ML initiatives with business impact
- Mentor team members and help elevate engineering and ML standards
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