AI Engineer - Leading Investment Bank

PINPOINT ASIA INFOTECH PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading global financial institution is seeking a hands-on AI Engineer to develop and deploy AI/ML models to enhance their cyber defense capabilities. The ideal candidate will have strong Python engineering experience and proficiency in AI/ML frameworks. This role offers an opportunity to work in a cutting-edge environment focused on security solutions. Interested candidates should send their CV to the specified email.

Qualifications

• Strong experience building production systems in Python.
• Hands-on with AI/ML frameworks.
• Experience deploying models into secure environments.

Responsibilities

• Develop and deploy AI/ML models to enhance cyber defense.
• Build scalable, production-ready tools using Python.
• Fine-tune large language models and integrate them.

Skills

Python engineering

AI/ML frameworks (PyTorch, LangChain, HuggingFace)

Model deployment in secure environments

CI/CD practices

Docker

Cloud infrastructure

Job description

A leading global financial institution is hiring a hands-on AI Engineer to join their security engineering function. This is a highly technical role for someone with strong Python engineering experience and a deep understanding of AI/ML, particularly in applying models to real-world systems.

What You'll Do:

• Develop and deploy AI/ML models (e.g. LLMs, anomaly detection, RAG) to enhance the firm’s cyber defense capabilities.
• Build scalable, production-ready tools and systems using Python.
• Fine-tune or adapt large language models (LLMs) and integrate them into enterprise security platforms.
• Work with cybersecurity stakeholders to identify pain points and design AI-powered solutions.
• Participate in full lifecycle software development – from research to deployment and operational support.

Ideal Candidate:

• Strong experience building production systems in Python (not just notebooks).
• Hands-on with AI/ML frameworks such as PyTorch, LangChain, or HuggingFace Transformers.
• Experience deploying models into secure, scalable environments.
• Familiarity with CI/CD, Docker, and cloud infrastructure.
• Background in security is a plus, but not required — interest in the space is key.

If you are interested in the above position, please send your CV to Charlie Kim @ [e-mail] (EA Registration number: Reg No: R23112483)