Senior Machine Learning Engineer

NEORIS

Colombia
Competitive salary; attractive benefits plan; stat...
On-site
7+ years machine learning experience
Xgboost and gradient boosting frameworks
Supply chain and transportation analytics
The role focuses on translating complex operational processes into scalable machine learning solutions to improve delivery efficiency and forecasting accuracy

Job Summary

  • The role focuses on translating complex operational processes into scalable machine learning solutions to improve delivery efficiency and forecasting accuracy.
  • Candidates must have strong hands-on experience building predictive models using XGBoost and deploying them via Google Vertex AI.
  • NEORIS offers a multicultural startup culture with opportunities for personal growth and competitive salary benefits.

Matching Summary

The role focuses on translating complex operational processes into scalable machine learning solutions to improve delivery efficiency and forecasting accuracy.

Salary

Competitive salary; Attractive benefits plan; Statutory benefits

Skills & Requirements

Must-have

  • 7+ years Machine Learning experience
  • XGBoost and gradient boosting frameworks
  • Supply Chain and Transportation Analytics
  • Google Vertex AI deployment
  • Python and SQL proficiency
  • Feature engineering and model evaluation

Nice-to-have

  • MLOps best practices implementation
  • Cross-functional collaboration skills
  • Cloud platform familiarity GCP AWS Azure
  • Strong communication with business stakeholders
  • Scalable ML pipeline development

Key Requirements

  • 7+ years in Machine Learning or Data Science
  • Advanced English proficiency required
  • Experience in logistics or delivery analytics domain

Work Rights

Not specified

Tailored Resume

Cover Letter