Key Responsibilities
1. Research, develop, and deploy AI models for 3D reconstruction and neural rendering.
2. Apply techniques such as NeRF, Gaussian Splatting, or layered mesh generation to build high-quality geometry from video or multi-view images.
3. Optimise inference pipelines for integration into a real-time volumetric engine.
4. Work closely with engineers from graphics, VFX, and rendering backgrounds.
5. Experiment with novel differentiable rendering systems and contribute to XR-focused product features.
What We’re Looking For
* Hands-on experience with NeRF, Gaussian Splatting, or related 3D reconstruction methods.
* Strong mathematical foundation in geometry, optimisation, and signal processing.
* Proficiency with PyTorch or TensorFlow.
* Experience optimising AI models for GPU inference (CUDA, TensorRT, TorchScript, or CoreML).
* Background in computer vision, 3D graphics, robotics, or immersive media.
* Bonus: knowledge of offline rendering pipelines (e.g., Arnold, RenderMan), or Unity/Unreal export workflows.
* 2+ years of experience in an applied AI or research-focused engineering role.
Additional Skills and Experience
* Experience in developing and deploying REST APIs using Java Spring Boot.
* Experience automating workflows using AI, LLM models such as GPT-4, LLaMA.
* Experience setting up CI/CD processes using Bitbucket, AWS, Docker, and Jenkins (DevOps).
* Extensive experience in performance testing using JMeter.
* Experience in designing, preparing, and executing test cases.
* Expertise in testing REST APIs using Postman.
* Experience in testing fintech domain applications.
* Expertise in automating workflows for web and mobile applications using Selenium and Appium.
* Experience in load testing with JMeter.
* Experience in writing detailed test plans.
* Understanding business requirements, preparing, and supervising execution of test cases for system customizations/enhancements.
* Hands-on experience with test management tools like TestLink and JIRA.
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