Machine Learning Engineer, Asia

Manulife Financial; Asia; Presencial; PEN 306.644 - 442.930; Jornada completa

Descripción de la vacante

Manulife Financial 的机器学习工程师团队正在寻找具备端到端AI模型开发能力的专业人才，重点在提升销售与市场领域的效率与效果。你将与数据科学家、BI专家、销售与市场负责人以及IT同事紧密协作，推动AI与高级分析项目的落地。

职位涵盖在云端平台上部署各类模型与GenAI应用，强调与现有系统、API与数据源的无缝对接、可扩展性以及成本控制，同时需持续关注AI前沿技术并评估其在业务中的落地潜力。

Formación

• 具备计算机科学、工程、数学等相关领域本科及以上学历与3年及以上AI/数据科学经验
• 熟练使用Azure云工具，如Databricks、AI Foundry、AI Search、Kubernetes等
• 熟练掌握Python和SQL，能用于数据分析与编排
• 具备将分析和AI工具应用于市场与销售职能的经验
• 具备较强的商业敏感性和理解相关方需求的能力
• 具备良好问题解决和分析能力
• 具备优秀的沟通与协作能力

Responsabilidades

• 与架构师、技术领导者合作，设计与业务目标对齐的高性能GenAI应用
• 在Azure Databricks和AKS等云平台上开发AI模型与应用，确保可扩展性与成本效益
• 编写脚本、自动化与分析工具，加速数据工程与模型部署
• 将ML和GenAI模型部署到生产环境，确保与系统、API及数据源的互操作性
• 通过数据分析与测试持续监控并改进AI模型性能
• 跟进AI技术新进展，评估其在工程流程中的潜在应用

Conocimientos

Python

SQL

Analytics

沟通能力

商业洞察

问题解决

协作能力

Educación

学士学位，计算机科学/工程/数学相关

Herramientas

Azure Databricks

AKS

AI Foundry

AI Search

Kubernetes

Descripción del empleo

The Opportunity

The Manulife/John Hancock AI Team is seeking a highly skilled and motivated Machine Learning Engineer with a strong focus on developing end-to-end AI models and solutions to accelerate and optimize sales and marketing efforts. In this role, you will collaborate closely with Data Scientists, BI Specialists, Sales and Marketing Leaders, and IT partners to execute AI and Advanced Analytics initiatives that will shape the future of our business. The team implements a wide range of traditional ML models as well as cutting-edge LLM/Agentic approaches. As an Machine Learning Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new AI systems, unlocking their full potential to drive maximum business value.

Position Responsibilities:

• Partner with architects and technical leaders to design high-performing GenAI applications aligned with business objectives.
• Develop AI models and applications on cloud platforms like Azure Databricks and AKS, ensuring seamless integration, scalability, and cost-effectiveness.
• Build scripts, automation, and analytical tools that accelerate data engineering and model deployment activities.
• Deploy machine learning and GenAI models into production environments, ensuring interoperability with systems, APIs, and data sources.
• Continuously monitor and improve the performance of AI models through data analysis and testing
• Stay up to date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.

Required Qualifications:

• Minimum Bachelor's degree in Computer Science, Engineering, Mathematics, or related field with 3 years of applicable experience in AI / Data Science, or a combination of education and experience
• Hands on experience with Azure cloud tools, such as Databricks, AI Foundry, AI Search, Kubernetes
• Strong background with Python and SQL, experience using both for data analysis and orchestration.
• Experience in applying analytics and AI tools in Marketing and Sales functions. Insurance industry experience is a plus.
• Strong business acumen and ability to understand stakeholders’ needs
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

宏利金融有限公司是全球领先的金融服务提供商，致力于帮助大众轻松作出明智抉择，实现精彩人生。如欲了解更多关于我们的信息，请访问人寿保险-养老保险-健康保险-中宏保险官网 (manulife-sinochem.com).

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 [e-mail]。

Working Arrangement

混合办公