Tentacle Tech
AI Engineer - Insurance Decision Intelligence
Skills
11 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Work mode:
Onsite
Published on:
16 October 2026
What they need
About Us
Tentacle Tech is an IT and software development consulting company serving some of Malaysia's largest enterprises. We deliver technology solutions, software development services, and IT consulting across multiple industries. We are looking for a talented professional to join our growing team.
The Role
As an AI Engineer focused on Insurance Decision Intelligence, you will build production-grade predictive models and AI services that support high-volume operational decisions in the finance sector. Working closely with business stakeholders and data platform teams, you will turn real-world insurance challenges into scalable AI solutions that improve risk assessment, operational efficiency, and customer outcomes. This is a hybrid position where your work will have a visible, measurable impact.
What You'll Do
Develop and deploy machine learning models supporting underwriting, claims, fraud detection, and customer analytics
Perform feature engineering and model experimentation using policy, claims, and customer datasets
Own the lifecycle of AI models from experimentation through production deployment and monitoring
Work with business teams to identify opportunities where AI can improve decision quality and operational efficiency
Contribute to internal standards for AI model development, governance, and monitoring
Support the development of the Business AI roadmap
What We're Looking For
3-5 years of experience in machine learning, AI engineering, or predictive analytics (juniors may be considered)
Strong proficiency in Python, including Pandas and NumPy, plus experience with PyTorch, TensorFlow, or scikit-learn
Experience building predictive models using gradient boosting (XGBoost, LightGBM), random forest, ensemble models, or anomaly detection
Solid grasp of feature engineering, model evaluation, and optimisation, with experience deploying models into production and exposing them via APIs
Familiarity with model lifecycle management, including monitoring, retraining, and version control
Knowledge of RAG approaches, document intelligence, and PII protection safeguards
Advantageous: insurance, banking, or fintech experience, risk analytics, and explainability tools such as SHAP or LIME
What We Offer
Competitive salary
Hybrid work arrangement for better work-life balance
Hands-on exposure to large-scale enterprise AI projects
Training, mentorship, and continuous learning opportunities
Clear career progression within a supportive, growing team
How to Apply
Apply now with your latest CV, or reach out to our recruitment team to learn more.
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