Subsea ML & Reliability Analytics Lead

Lennor Group; Taguig; Hybrid; PHP 900,000 - 1,500,000; 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 in a hybrid work setting.

The role focuses on research-driven development and practical deployment, requiring strong hands-on experience

Qualifications

• Experience building and deploying ML models to production.
• Strong knowledge of statistical methods and anomaly detection.
• Familiarity with research-driven product development.

Responsibilities

• Research, design, and deploy machine learning models and statistical algorithms.
• Lead R&D efforts in predictive analytics, anomaly detection, and risk modeling for subsea infrastructure.
• Collaborate with cross-functional teams to deliver deployment-ready solutions in a hybrid work setting.

Skills

Machine Learning

Statistical Modeling

Predictive Analytics

Anomaly Detection

Subsea Route Optimization

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 in a hybrid work setting.

The role focuses on research-driven development and practical deployment, requiring strong hands-on experience