Allianz

2 months ago

Manager - Country AI Engineer (Bangkok, TH, 10330)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead development of production AI services for an insurance business, collaborating with senior engineers and business stakeholders to deliver Generative AI, predictive modeling, and analytics on Azure. Drive data prep, model development, deployment, and CI/CD in an ML Ops culture, with a focus on reliability and stakeholder alignment in a regulated fintech environment.

Location: Bangkok

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Develop and implement AI solutions from design through deployment and continuous improvement.
•Build AI applications across Generative AI, predictive modeling, and analytics depending on business priority.
•Perform data preparation, EDA, model development, testing, and evaluation.
•Deploy and support AI services and pipelines on Azure with focus on reliability and performance.
•Work with business teams (claims, underwriting, sales, operations) and contribute to documentation and engineering best practices.

Key Requirements

•3-5+ years in AI/ML engineering or software engineering with strong ML exposure.
•Strong Python and software engineering skills APIs/services, testing, maintainability
•Strong understanding of ML fundamentals and practical AI evaluation (for both GenAI and classical ML)
•Experience working on Azure or similar cloud; Experience with Azure AI services or deployment tools
•Exposure to MLOps/LLMOps practices (monitoring, CI/CD, model lifecycle management)

Experience:3-5 yearsAI/MLInsuranceRegulated environments

Skills:PythonAzureAzure AIML OpsCI/CDEDA

Tech Stack:PythonAzureAzure AICI/CDMLEDA

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

2 months ago

Manager - Country AI Engineer (Bangkok, TH, 10330)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Bangkok

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Develop and implement AI solutions from design through deployment and continuous improvement.
•Build AI applications across Generative AI, predictive modeling, and analytics depending on business priority.
•Perform data preparation, EDA, model development, testing, and evaluation.
•Deploy and support AI services and pipelines on Azure with focus on reliability and performance.
•Work with business teams (claims, underwriting, sales, operations) and contribute to documentation and engineering best practices.

Key Requirements

•3-5+ years in AI/ML engineering or software engineering with strong ML exposure.
•Strong Python and software engineering skills APIs/services, testing, maintainability
•Strong understanding of ML fundamentals and practical AI evaluation (for both GenAI and classical ML)
•Experience working on Azure or similar cloud; Experience with Azure AI services or deployment tools
•Exposure to MLOps/LLMOps practices (monitoring, CI/CD, model lifecycle management)

Experience:3-5 yearsAI/MLInsuranceRegulated environments

Skills:PythonAzureAzure AIML OpsCI/CDEDA

Tech Stack:PythonAzureAzure AICI/CDMLEDA

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn