Subsea ML Architect: Predictive Analytics & Reliability

Lennor Group; Taguig; Hybrid; PHP 800,000 - 1,100,000; Full time

Job summary

Lennor Group in Taguig is seeking a skilled ML engineer to research, design, and deploy machine learning models and statistical algorithms that bolster the reliability of subsea fiber optic infrastructure.

You will lead R&D efforts in predictive analytics, anomaly detection, subsea route optimization, and risk modeling, collaborating with cross-functional teams to deliver deployment-ready solutions in a hybrid work setting.

Qualifications

• Research, design, and deploy machine learning models and statistical algorithms.
• Lead R&D efforts in predictive analytics, anomaly detection, subsea route optimization, and risk modeling.

Responsibilities

• Lead R&D in predictive analytics, anomaly detection, subsea route optimization, and risk modeling.
• Collaborate with cross-functional teams to deliver deployment-ready ML solutions in a hybrid work setting.

Skills

Machine Learning

Statistical Modeling

Predictive Analytics

Anomaly Detection

Route Optimization

Risk Modeling

Job description

Lennor Group in Taguig is seeking a skilled ML engineer to research, design, and deploy machine learning models and statistical algorithms that bolster the reliability of subsea fiber optic infrastructure.

You will lead R&D efforts in predictive analytics, anomaly detection, subsea route optimization, and risk modeling, collaborating with cross-functional teams to deliver deployment-ready solutions in a hybrid work setting.