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About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.
Key Responsibilities:
* Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
* Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
* Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
* Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
* Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
* Develop monitoring solutions to track model performance and system health in production.
* Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.
Qualifications:
* Proven experience as an MLOps engineer or similar role with a focus on 3D applications
* Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
* Expertise in 3D reconstruction and rendering
* Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
* Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment
Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
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