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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 。 Working Arrangement 混合办公 #J-*-Ljbffr
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.