AI Engineer (1 Year Contract)
Prudential plc is hiring an AI Engineer (1 Year Contract) in Singapore, Singapore. Level rates it ; you can apply on Prudential plc.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
- Level classifies it as a senior role.
- Level lists 437 other open roles at Prudential plc.
AI in this role
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.
The AI Engineer as part of the Prudential Corporate AI Lab and Incubator will support the development and run of the global AI sandbox, development of cutting-edge AI solutions, R&D and provide technical guidance and support in AI domain to the teams under incubation that develop AI Products.
The role requires a strong technical background in Data, AI and modern Cloud infrastructure, excellent technical skills, and the ability to collaborate with both internal and external stakeholders across technology, AI and business to deliver impactful AI products. The AI Engineer will work on delivery of high-quality AI products, continues improvement and experimentation and development of Prudential's AI expertise.
Job Description:
Sandbox Platform:
Assist in the development and maintenance of the AI Lab’s global sandbox platform.
Ensure the platform is effectively used for experimenting with AI applications.
Contribute to the continuous improvement of the platform based on user feedback and technological advancements.
Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment.
Provide technical guidance and support to teams using the sandbox for AI product development.
Technical AI Domain Expertise:
Conduct research and development (R&D) to stay up-to-date with the latest advancements in AI, machine learning, Large Language Model frameworks.
Provide technical guidance and support in the AI domain to teams under incubation that develop AI products.
Analyse and interpret data to provide actionable insights and recommendations.
AI Development and Quality:
Optimize and fine-tune AI models for performance, scalability, and accuracy.
Assist in the technology aspects of the structured AI product incubation and acceleration program.
Ensure AI Products and experiments are developed in alignment with Prudential’s core risk, data protection, technology risk management policies, and regulations.
Contribute to the implementation of rigorous quality assurance processes to maintain the highest standards of AI solutions.
Work on the delivery of high-quality AI products, continuous improvement, experimentation, and development of Prudential’s AI expertise.
Team Collaboration
Collaborate with cross-functional teams, including technology, AI, and business stakeholders, to integrate AI solutions into products and services.
Work with external partners, including higher education institutions, start-ups, and hyperscale’s expert teams and government agencies.
Contribute to a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.
Mentor and guide junior engineers in AI and machine learning best practices
Talent Development and Ecosystem Engagement
Contribute to the development of AI talent within Prudential through participation in education and training programs.
Engage with the external AI ecosystem to stay updated with the latest trends and advancements.
Represent Prudential at industry events and conferences to showcase the company’s AI capabilities.
Who we are looking for:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience (5 years or more) in developing and deploying AI models and algorithms.
Strong technical background in data, AI, and modern cloud infrastructure.
Excellent programming skills in languages such as Python, R.
Experience with machine learning frameworks and libraries (e.g., LLM frameworks, Computer Vision, NLP frameworks, TensorFlow, PyTorch, scikit-learn).
Knowledge of data preprocessing, feature engineering, model evaluation, MLOPs, LLMOps techniques
Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure).
Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.
Ability & Passion for innovation and a drive to position Prudential at the forefront of AI in the insurance industry
This role presents an exciting opportunity in Prudential's AI transformation and contribute to the company's strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing Prudential as an industry leader in AI innovation.
This role presents an exciting opportunity in Prudential's AI transformation and contribute to the company's strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing Prudential as an industry leader in AI innovation.
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.
How we rate this
AI Engineer (1 Year Contract) at Prudential plc rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide that one model's output is better than another's for a given task?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops, AI Evaluation, Computer vision, NLP, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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