Senior Algorithm Engineer (Singapore-based)

Join Our Client – A Leading Enterprise Solutions Company (Financial Services Focus)

Our client is a forward-thinking enterprise technology company specializing in AI-powered solutions for financial services. Through cutting-edge research and robust engineering, they are redefining identity verification and fraud prevention in a rapidly evolving digital landscape. The team combines deep technical expertise with practical, real-world impact—bringing innovation, reliability, and intelligence to enterprise-grade systems.

We are seeking a Senior Algorithm Engineer to drive the research and development of advanced computer vision and deep learning models for deepfake detection, forgery analysis, and intelligent visual reasoning. This role plays a key part in building next-generation verification technologies that enhance security and trust across digital platforms.

What You’ll Do:

Design, implement, and optimize deep learning algorithms for image and video analysis within identity and security applications.
Lead experimentation, benchmarking, and continuous improvement of AI models to enhance performance, accuracy, and robustness.
Work closely with data scientists, product teams, and engineers to bring research concepts into scalable, production-ready systems.
Explore and apply recent advancements in multimodal learning, adversarial robustness, and model interpretability.
Support model deployment, monitoring, and maintenance within distributed or cloud-based environments.
Contribute to documentation, internal research papers, and innovation initiatives that strengthen the company’s AI capability.

What We’re Looking For:

Master’s or PhD in Computer Science, Computer Vision, Machine Learning, or a closely related discipline.
Proven hands-on experience with Python and deep learning frameworks such as PyTorch or TensorFlow.
Strong foundation in computer vision and deep learning, with prior work involving unstructured image or video data.
Demonstrated ability to train, fine-tune, and optimize machine learning models for real-world deployment.
Experience in forgery detection, deepfake analysis, or texture-based modeling is preferred.
Familiarity with distributed training, model deployment, and cloud-based inference environments.
Understanding of adversarial attacks, defenses, and model robustness is an advantage.
Proactive, curious, and passionate about translating research into tangible, enterprise-scale applications.

Senior Algorithm Engineer (AI)