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AI Automation Engineer

PolicyStreetKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
On-site Full-time

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Experience Level

Experience

Qualifications

WHAT WE EXPECT OF YOU:2-3 years of hands-on experience in AI automation, intelligent automation, data analytics, or related fields. Demonstrable experience applying AI in real-world operational or business contexts, rather than solely in theoretical frameworks. Proficient with automation tools including RPA platforms, APIs, scripts, or low-code solutions. Practical knowledge of AI/ML applications such as OCR, NLP, predictive analytics, or classification. Capable of integrating data, AI, and automation into comprehensive end-to-end workflows.

About the job

ABOUT US:

At PolicyStreet, we are at the forefront of the InsurTech revolution, delivering cutting-edge digital insurance solutions tailored for businesses and consumers across Southeast Asia and Australia. Our extensive network of over 40 insurance providers allows us to offer a diverse array of products, including embedded insurance, bespoke employee benefits, financial advisory services, and innovative digital solutions. We strive to simplify the insurance experience for everyone, serving over 5 million customers with more than US$ 10 billion in sum insured.

ROLE OVERVIEW:

We are seeking a dynamic AI & Automation Engineer to spearhead intelligent automation initiatives throughout our business and operational processes. By harnessing the power of AI, data analytics, and modern automation tools, this role aims to minimize manual tasks, enhance decision-making capabilities, and boost operational efficiency.

Your collaboration with operations, product, and technology teams will be vital in identifying automation prospects, constructing AI-driven workflows, and transitioning successful pilot projects into scalable, production-ready solutions.

WHAT YOU’LL DO:

  • AI-Driven Automation & Process Optimisation:
  • Identify, design, and develop scalable AI-driven automation and machine learning (ML) models to streamline and enhance operational processes and workflows.
  • Construct and maintain automation workflows utilizing RPA, APIs, open-source scripts, and low-code platforms to improve operational efficiency and performance.
  • Implement AI/ML techniques for automation use cases such as OCR, classification, prediction, anomaly detection, and decision support to reduce manual intervention and increase accuracy.
  • Collaborate across teams to redesign and integrate AI/ML solutions into existing workflows and systems.
  • Engage in data pre-processing and model evaluation to ensure robust and effective solutions.

About PolicyStreet

PolicyStreet is a pioneering InsurTech company revolutionizing the way insurance is delivered and experienced. With innovative digital solutions designed for the unique needs of businesses and consumers in Southeast Asia and Australia, we simplify insurance, making it accessible and straightforward for all.

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