NTT DATA is seeking a skilled Senior Deep Learning Engineer specializing in 3D AI to join our dynamic team. This role is perfect for innovative individuals passionate about pushing the boundaries of AI and growing within a forward-thinking organization.

We are looking for candidates who excel in core deep learning model development, particularly in areas such as Computer Vision and 3D Vision. Experience with Geometric Deep Learning, Point Cloud Processing, and Robotics AI is highly valued. While we appreciate exposure to AI applications, this role demands deep expertise in model creation rather than integration or prompt engineering.

Join a global leader in business and technology services, committed to accelerating client success and impacting society positively through responsible innovation. As a top global employer, NTT DATA offers unparalleled capabilities in enterprise-scale AI, cloud, security, and digital infrastructure.

Develop and refine advanced Deep Learning models for 3D AI applications, focusing on Computer Vision and Geometric Deep Learning.

Process and analyze 3D data, including point clouds and meshes, to extract meaningful insights and drive innovation.

Apply expertise in areas such as Robotics AI, Autonomous Driving, and Medical Imaging (3D) to solve complex engineering challenges.

Contribute to projects involving Digital Twins, Industrial Inspection AI, and Manufacturing AI, leveraging cutting-edge techniques.

A strong foundation in Deep Learning is essential, including proficiency with Neural Networks, CNNs, RNNs, Transformers, and GANs. Expertise in frameworks like PyTorch or TensorFlow is required.

Demonstrated mathematical acumen in Linear Algebra, Vector Algebra, Optimization, Probability, and Statistics is crucial.

Proficiency in programming languages such as Python (preferred), C++, or C# is a must.

Significant experience with 3D data processing (Point Clouds, Mesh Processing, Geometry Processing) and familiarity with CAD formats (JT, STEP, STL, OBJ) are highly advantageous. Experience with specific CAD software or toolkits is a plus.

Candidates with experience in domains like Automotive, Robotics, Industrial Automation, Manufacturing, or Aerospace will be prioritized.