Insurance AI Engineer - Hybrid, Enterprise-Scale Impact

TENTACLE SSO SDN BHD; Kuala Lumpur; Hybride; MYR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Hybrid work arrangement

Hands-on enterprise AI projects

Training & mentorship

Résumé du poste

Tentacle Tech is seeking an AI Engineer focused on Insurance Decision Intelligence to build production-grade predictive models and AI services. You will work with data platform teams and business stakeholders to turn insurance challenges into scalable AI solutions that improve risk assessment, efficiency, and customer outcomes.

The role is hybrid, offering hands-on exposure to large-scale enterprise AI projects, training, mentorship, and clear career progression within a growing team.

Qualifications

• 3–5 years in ML, AI engineering, or predictive analytics (juniors considered).
• Strong Python skills with Pandas/NumPy; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience building predictive models using gradient boosting and ensemble methods; anomaly detection is a plus.

Responsabilités

• Develop and deploy ML models for underwriting, claims, fraud detection, and analytics.
• Perform feature engineering using policy, claims, and customer data.
• Own model lifecycle from experimentation to production deployment and monitoring.
• Collaborate with business teams to identify AI deployment opportunities and impact.
• Contribute to internal AI governance, standards, and monitoring.
• Support the development of the Business AI roadmap.

Connaissances

Python (Pandas/NumPy)

ML frameworks

Gradient boosting

Feature engineering

Model deployment

Model lifecycle & monitoring

Data privacy & PII safeguards

Outils

Git

Description du poste

Tentacle Tech is seeking an AI Engineer focused on Insurance Decision Intelligence to build production-grade predictive models and AI services. You will work with data platform teams and business stakeholders to turn insurance challenges into scalable AI solutions that improve risk assessment, efficiency, and customer outcomes.

The role is hybrid, offering hands-on exposure to large-scale enterprise AI projects, training, mentorship, and clear career progression within a growing team.