Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxuzc
Key responsibilities
As a Sr.
Machine Learning Engineer, you'll lead the development and deployment of advanced ML models and scalable systems that power critical business decisions.
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 across the organization
Qualifications
5+ years of experience building and deploying machine learning systems in production
Strong expertise in Python, SQL, and modern ML frameworks
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 both technical and business stakeholders
Experience in growth, marketing, e-commerce, or high-scale digital environments is a strong plus
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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxuzc