Design and implement robust deep learning pipelines using state-of-the-art models to power next-generation augmented reality applications. You'll take full ownership of the AI backend, ensuring efficient inference and secure communication between frontend and server components.
What You'll Do
- Develop and refine deep learning models, moving from prototype to production with input from creative and product teams
- Manage and optimize cloud infrastructure on Azure for reliable, scalable AI inference
- Build and maintain CI/CD systems using GitHub Actions and Docker for seamless automated deployments
- Design serverless architectures and database schemas that support real-time, location-based experiences
- Stay current with advancements in AI and adapt new techniques to improve system performance
Requirements
- Minimum of 3 years of hands-on experience developing and deploying deep learning pipelines
- Proven experience with cloud platforms—Azure preferred, but AWS or GCP experience accepted
- Solid understanding of PyTorch, Docker, Terraform, and testing frameworks like Pytest
- Strong problem-solving skills with a track record of independently driving technical solutions to completion
Benefits
- Competitive compensation package
- Flexible working hours and remote work options
- Hybrid work model supporting both collaboration and independent focus
- Clear pathways for professional growth and leadership
- Autonomy in technical decision-making within a trusted, employee-first culture
