Core Skills
- Programming Languages:Proficiency in languages such asC++,C#(for Unity), andPython(essential for AI/ML and data science).
- Game Engines & Tools:Expertise with game engines likeUnityandUnreal Engine, along with 3D modeling tools such asBlender.
- AI and Machine Learning (ML):Knowledge of ML frameworks (e.g.,TensorFlow,PyTorch), algorithms, neural networks, and data analysis to develop intelligent systems.
- 3D Development Fundamentals:Strong understanding of3D modeling,animation,graphics programming, andphysicsto create realistic virtual environments.
- Problem-Solving and Critical Thinking:Essential for debugging complex systems, optimizing performance, and addressing unique cross-industry challenges.
- Collaboration & Communication:Ability to work effectively in multidisciplinary teams with domain experts (e.g., financialanalysts, doctors, lawyers).
- Data Management & Security:Skills in handling large datasets, data encryption, and robust security practices, whichare critical across all listed sectors.
Core Duties
- Research & Prototyping:Researching and developing AI-powered prototypes that address specific business requirements or clinical
- Developing & Optimizing Systems:Designing, coding, and optimizing 3D AI applications and features, such as real-time
- Integrating Technologies:Deploying and integrating AI solutions and 3D applications with existing platforms, such
- Ensuring Compliance & Security:Adhering to strict industry-specific regulations and compliance standards (e.g., financial regulations, dataretention laws, patient safety protocols), with rigorous documentation and testing.
- Iterating Based on Feedback:Gathering feedback from users and stakeholders, conducting thorough testing, and refining theapplication or simulation to ensure a seamless user experience and high performance.
- Creating Documentation & Procedures:Writing technical documentation, creating production procedures, and assisting with knowledge transfer toother team members.
The specific application of these skills is tailored to each sector, such as developing AI for fraud detection in Fintech, creating AR/VR surgical simulations in Medtech, or integrating IoT data for enhanced fan engagement in Sportech.
