Senior AI/ML Engineer (On-Premise + Tabular Data) - Remote - Latin America (Salta)
FullStack
- Salta
- Permanente
- Tiempo completo
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
\n\nWhat We're Looking For\n\n
- 5+ years of professional AI/ML engineering experience.
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- Advanced English is required.
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- Successful completion of a four‑year college degree is required.
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- Proven experience building and validating supervised learning models on large‑scale tabular datasets.
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- Demonstrated experience extracting predictive signals and performing feature engineering on raw transactional data.
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- Track record of designing rigorous back‑testing frameworks to verify model accuracy against historical project outcomes.
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- Hands‑on experience profiling, cleaning, and normalizing messy enterprise data within PostgreSQL environments.
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- Solid background in deploying containerized models (Docker/ONNX) within on‑premise or air‑gapped infrastructures.
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- Expertise in ensemble methods such as XGBoost, LightGBM, and CatBoost for high‑stakes regression tasks.
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- Adept at balancing CPU vs. GPU inference tradeoffs to optimize performance in private cloud environments.
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- Well‑versed in the architectural constraints of building AI systems without reliance on cloud‑native services.
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- Skilled at translating complex model outputs into actionable ROI and cost‑estimation insights.
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- Ability to work through new and difficult issues and contribute to libraries as needed.
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- Ability to create and maintain continuous integration and delivery of applications.
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- Forensic attention to detail.
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- A positive mindset and a can‑do attitude.
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- Experience working on Agile / Scrum teams.
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- Meaningful experience working on large, complex sy
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