AI Engineer (Kỹ sư AI) at Prudential plc

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Linear Algebra, Calculus, Probability, Statistics, Inferencing Apis, Multimodality, LLMs, RAG, FineTuning Frameworks, MCP, Prompt Engineering, TensorFlow, PyTorch, Scikit-learn, Git

Industry

Financial Services

Description

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. Job Purpose / Mục tiêu vị trí The primary purpose of an AI Engineer role is to design, develop, and implement artificial intelligence systems and solutions that enhance business processes, automate tasks, and deliver data-driven insights. This position bridges advanced machine learning techniques and state-of-the-art AI models | technology with practical applications to drive efficiency, innovation, and competitive advantage. Job Responsibilities / Phạm vi công việc Design, develop, train, fine-tune, and deploy machine learning & AI models to solve insurance business problems, focus on turning prototypes into production-ready solutions. Collaborate with data engineers, delivery managers, business analysts, and software engineers to turn prototypes into scalable AI services. Assess and choose appropriate machine learning & AI model architectures (classification, regression, clustering, recommendation, etc. or suitable AI models). Design and develop AI Agents to fully automate and leverage Agentic AI. Preferred: Ensure that ethical AI frameworks are mandated and complied. Stay updated with the latest AI research and new technologies, including state-of-the-art generative AIs and agent frameworks. Job Accountability / Trách nhiệm chính AI Solution Development: Designing, developing, training, finetuning, and testing machine learning & AI models to solve specific business problems. System Integration and Deployment: Integrating AI models into existing software infrastructure and deploying them into production environments, often using APIs, microservices, and cloud platforms like GCP or Azure. Performance Optimization: Monitoring, troubleshooting, and optimizing AI systems for performance, efficiency, scalability, and security to ensure they provide accurate real-time results. Innovation and R&D: Staying current with the latest AI advancements, research, and tools, and identifying new opportunities for AI applications that drive innovation and enhance business processes. AI Practices: Ensuring AI systems are developed with fairness, transparency, and security in mind. Collaboration and Communication: Working closely with cross-functional teams, including data engineers, delivery managers, software engineers, business analysts, and business stakeholders. Job Requirements / Yêu cầu Technical Skills: Programming: Python. Mathematics: Strong foundation in Linear Algebra, Calculus, Probability, and Statistics. AI Engineering: Inferencing APIs, Multimodality, LLMs, RAG, Fine-tuning frameworks, MCP, & Prompt Engineering. Preferred: Machine Learning: Understanding algorithms (decision trees, random forest regression, gradient descendent, deep-learning, vanishing gradient problem, etc.) with frameworks like TensorFlow, PyTorch, Scikit-learn. Preferred: experience with major cloud providers (Azure, GCP, AWS). Preferred: Version control (Git), containerization (Docker), & CI/CD pipelines. Key Responsibilities & Knowledge Areas: Designing, building, training, fine-tuning, and deploying AI/ML models in production. Rapid prototyping and research to implement new ideas. Developing solutions for specific applications. Essential Soft Skills: Problem-solving & Critical Thinking. Analytical Skills. Preferred: Communication & Collaboration (working in cross-functional teams). Self-Motivation, Optimism, & Persistence. Education: Bachelor’s or Master’s degree in Computer Science, or AI Engineering, or related fields. Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements. We are Prudential. For Every Life, For Every Future. Prudential plc provides life and health insurance and asset management to 18 million customers across 24 markets in Asia and Africa. We are headquartered in London and Hong Kong and are focused on four strategic regions: Greater China, ASEAN, India and Africa. We are served by around 68,000 average monthly active agents and more than 200 bank partners. Prudential plc is not affiliated in any manner with Prudential Financial, Inc., a company whose principal place of business is in the United States of America or with the Prudential Assurance Company, a subsidiary of M&G plc, a company incorporated in the United Kingdom. Find out more at www.prudentialplc.com Follow us on LinkedIn

Responsibilities

The primary responsibility involves designing, developing, training, fine-tuning, and deploying machine learning and AI models to solve specific insurance business problems, focusing on moving prototypes into production-ready, scalable AI services. This includes designing and developing AI Agents for automation and staying updated with the latest AI research and generative AI technologies.