Immediate requirement for AR/AI Recommendation Engine Developer (Part-time- Freelancing)
We are seeking a talented and experienced AR AI Recommendation Engine Developer to join our dynamic team. The ideal candidate will have a strong background in both augmented reality development and artificial intelligence, with a focus on creating recommendation systems within AR environments. As a key member of our technology team, you will play a crucial role in enhancing user experiences by leveraging cutting-edge technologies.
Design and Develop AR Applications:
Lead the development of AR applications with a focus on creating immersive and interactive experiences.
Utilize AR frameworks and tools to design and implement AR features that seamlessly integrate with the real-world environment.
Implement AI Recommendation Systems:
Design, develop, and implement recommendation algorithms within AR applications.
Integrate machine learning models to analyze user behavior, preferences, and contextual data to provide personalized AR content recommendations.
Collaborate with Cross-functional Teams:
Work closely with UX/UI designers, software engineers, and product managers to understand requirements and translate them into effective AR AI solutions.
Collaborate with data scientists to leverage data insights for improving recommendation accuracy.
Optimize AR and AI algorithms for performance, ensuring smooth and responsive user experiences.
Conduct testing and debugging to identify and resolve issues related to AR interactions and recommendation accuracy.
Stay Current with Technology Trends:
Stay abreast of the latest developments in AR, AI, and recommendation systems.
Evaluate and incorporate emerging technologies that can enhance the functionality and performance of AR AI solutions.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience in AR development, with a strong portfolio showcasing AR projects.
Solid understanding of AI and machine learning concepts, particularly in the context of recommendation systems.
Experience with AR frameworks like ARKit, ARCore, or Unity AR Foundation.
Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch) is a plus.
Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.