Lead ML Engineer – Industrial IoT (Edge-to-Cloud)

Clarios, LLC; Monterrey; Sur place; MXN 1 200 000 - 2 400 000; Plein temps

Résumé du poste

Clarios, LLC is seeking a seasoned Machine Learning Engineer and Technical Lead to architect and deploy ML solutions powering industrial IoT. You will guide a team of engineers and scientists to deliver production-grade systems, turning large-scale sensor data into actionable intelligence that keeps connected assets running.

You will own end-to-end ML projects—from ideation to deployment—while mentoring teammates and collaborating with product managers to align technical outcomes with business

Qualifications

• 5+ years of experience in machine learning and software engineering.
• Proven experience leading technical teams or projects in a production environment.
• Strong proficiency in Python and ML frameworks; SQL and cloud platforms.
• Experience with time-series data.
• Excellent communication and cross-functional collaboration skills.
• Preferred: Advanced degree in related field.
• Experience in industrial sectors.
• Knowledge of MLOps tools (MLflow, Airflow, Docker, Kubernetes).
• Experience with signal processing, edge computing, and physics-informed ML models.

Responsabilités

• Architect & deploy ML solutions: design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting using large-scale sensor data from connected devices.
• Build production infrastructure: develop robust data pipelines and real-time inference systems integrated with edge and cloud infrastructure.
• Lead technical execution: own the end-to-end delivery of ML projects, from ideation to deployment.
• Mentor & set the standard: guide a team of ML and software engineers; define and enforce best practices in model development, testing, and deployment.
• Partner cross-functionally: work with product managers and domain experts to align technical solutions with business goals.

Connaissances

Technical leadership

Project ownership

Cross-functional collaboration

Mentorship

Communication

Formation

Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or related field

Advanced degree preferred

Outils

PyTorch

TensorFlow

Scikit-learn

Python

SQL

MLflow

Airflow

Docker

Kubernetes

Edge & cloud deployment

Description du poste

Clarios, LLC is seeking a seasoned Machine Learning Engineer and Technical Lead to architect and deploy ML solutions powering industrial IoT. You will guide a team of engineers and scientists to deliver production-grade systems, turning large-scale sensor data into actionable intelligence that keeps connected assets running.

You will own end-to-end ML projects—from ideation to deployment—while mentoring teammates and collaborating with product managers to align technical outcomes with business