AIML 3D Deep Learning Engineer
Actalent
Location
🇮🇳 India
Type
full_time
Salary
Undisclosed
Posted
1mo ago
Job Description
**
Job Description
:** As a Deep Learning Engineer specialized in 3D Computer Vision and Reinforcement Learning, you will work on developing, implementing, and optimizing state-of-the-art models that tackle complex challenges in spatial AI and geometric processing. You will be part of a multidisciplinary team pushing the frontiers of 3D representation, algorithmic generation, and autonomous agents, contributing to the research, development, and deployment of large-scale AI systems capable of interpreting, manipulating, and generating complex 3D structures. • *
Key Responsibilities
:** - **Research & Development:** - Lead and contribute to research initiatives focused on advanced deep learning models, particularly 3D Convolutional Neural Networks (CNNs), Geometric Deep Learning, and Deep Reinforcement Learning (DRL) for spatial problem-solving. - **Model Design & Implementation:** - Design and implement custom neural network architectures and autonomous agents capable of interacting with, interpreting, and generating complex 3D geometries, including CAD data and 3D meshes. - **Mathematical & Algorithmic Engineering:** - Develop, optimize, and implement core mathematical algorithms from first principles. Heavily utilize computational geometry, topology, and linear algebra to process spatial data natively, building proprietary solutions rather than relying on off-the-shelf commercial software. - **Training & Fine-Tuning:** - Conduct training and fine-tuning of complex models (e.g., DRL agents, 3D CNNs) in simulated and geometric environments, leveraging modern machine learning frameworks such as PyTorch and TensorFlow. - **Optimization:** - Work on scaling, optimizing, and improving the efficiency of custom algorithms and large models, including distributed training, parallelism, and hardware acceleration (GPUs, TPUs). - **Deployment & Integration:** - Collaborate with engineering teams to integrate these 3D deep learning models and agentic workflows into robust, scalable production systems. • *
Qualifications
Required:** - Relevant Experience: 1 to 4 years - Desired