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Urgent! Computational Geometry ML Engineer Job Opening In Bengaluru – Now Hiring Nityo Infotech

Computational Geometry ML Engineer



Job description

Applied SciML Engineer


We're looking for an engineer with deep expertise in scientific machine learning and computational geometry to build production ML systems for physical simulation data.

Requirements


Core Deep Learning Experience (3+ years)


● Hands-on deep learning training with scientific datasets: CAD geometries, CFD simulations, or similar physical data

● End-to-end model development: data preparation, training, hyperparameter tuning

● Multi-GPU training and GPU memory optimization

● PyTorch and PyTorch Lightning proficiency

Technical Depth Demonstrated experience (via publications in top venues OR 3+ years industry experience) in one or both areas:

● Computational Geometry: PointNet, DGCNN, TripNet, MeshGPT, or similar geometric deep learning architectures

● Scientific ML: PINNs, DeepONet, FNO, Transformers for physics, SCoT, Poseidon, or related physics-informed models

Evidence of Impact Publications in leading ML/computational science conferences/journals OR proven track record building SciML systems in industry.


Required Skill Profession

Engineers



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