Líder en ML para Análisis Predictivo

Placements24; Torreón; Hybrid; MXN 900.000 - 1.900.000; Vollzeit

Zusammenfassung

Placements24 is seeking an Ingeniero Principal de Aprendizaje Automático para Modelado Predictivo to join their Torreón team. The role centers on building and deploying production-grade ML models, advancing predictive analytics, and shaping AI strategy across business units.

You will lead cross-functional collaboration with data scientists, engineers, and product managers to deliver scalable ML solutions. The ideal candidate has 5+ years of hands-on ML experience, strong Python and ML library

Qualifikationen

• Master's or Ph.D. in Computer Science, AI, ML, Statistics, or related quantitative field.
• 5+ years of experience in developing and deploying production-level ML models.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with deep learning, NLP, and RL.
• Experience with big data technologies and cloud platforms.

Aufgaben

• Develop and implement advanced ML models for predictive analytics.
• Design, train, and evaluate algorithms for cross-functional use cases.
• Collaborate with data scientists, software engineers, and product managers to integrate AI solutions.
• Mentor junior engineers and data scientists; foster knowledge sharing.
• Ensure scalability, reliability, and performance of deployed models.
• Present findings to technical and non-technical stakeholders.
• Contribute to the AI strategy and roadmap of the organization.
• Optimize data pipelines and feature engineering for model accuracy.

Kenntnisse

Python

ML frameworks

Leadership

Communication

Problem solving

Tools

TensorFlow

PyTorch

Scikit-learn

Spark/Hadoop

AWS/Azure/GCP

Jobbeschreibung

Placements24 is seeking an Ingeniero Principal de Aprendizaje Automático para Modelado Predictivo to join their Torreón team. The role centers on building and deploying production-grade ML models, advancing predictive analytics, and shaping AI strategy across business units.

You will lead cross-functional collaboration with data scientists, engineers, and product managers to deliver scalable ML solutions. The ideal candidate has 5+ years of hands-on ML experience, strong Python and ML library