Synthetic Data Engineer Python & Blender (3D)

You are a highly skilled and motivated Synthetic Data Generation Engineer who will be responsible for developing tools that automatically generate thousands of realistic, annotated images of 3D objects. Your main role will involve designing and developing a robust pipeline for synthetic image generation using BlenderProc and Python. You will automate 3D scene creation, object placement, lighting, and rendering within Blender, as well as generate annotated datasets including bounding boxes, segmentation masks, and other metadata. Collaboration with AI/ML teams to understand data requirements and optimize generation strategies is crucial. Additionally, you will maintain and improve the tool for scalability, performance, and ease of use, and provide documentation and support for integration with downstream AI workflows. Key Responsibilities: - Design and develop a robust pipeline for synthetic image generation using BlenderProc and Python. - Automate 3D scene creation, object placement, lighting, and rendering within Blender. - Generate annotated datasets including bounding boxes, segmentation masks, and other metadata. - Collaborate with AI/ML teams to understand data requirements and optimize generation strategies. - Maintain and improve the tool for scalability, performance, and ease of use. - Document processes and provide support for integration with downstream AI workflows. Qualifications Required: - Strong Python Programming Skills with proven experience in building automation tools and working with data pipelines. - Hands-on experience with Blender for 3D modeling/rendering and BlenderProc for automation. - Familiarity with 3D graphics concepts such as lighting, textures, and camera settings. - Ability to write clean, modular, and well-documented code. - Experience working in Linux environments and using version control systems (e.g., Git). - Basic understanding of Computer Vision and Machine Learning concepts. - Knowledge of annotations like bounding boxes, segmentation masks, etc. - Familiarity with image datasets and training pipelines. - Experience with other synthetic data generation tools or libraries. - Exposure to AI model training and evaluation workflows. Persistent Ltd. is committed to fostering diversity and inclusion in the workplace. They support hybrid work and flexible hours to accommodate diverse lifestyles. The office is accessibility-friendly with ergonomic setups and assistive technologies to support employees with physical disabilities. Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.,