Effileap Technologies

1 Job openings at Effileap Technologies
Machine Learning Engineer thiruvananthapuram,kerala,india 0 years None Not disclosed On-site Full Time

Company Description Effileap Technologies is a forward-thinking IT and AI research company based in TechnoPark , Trivandrum, India. The company is committed to advancing intelligent systems that drive business transformation and scientific discovery. Effileap’s work spans CRM solutions, productivity tools, and AI-driven automation, with a growing research focus on spatial intelligence, 3D data understanding, and geometric deep learning. The team fosters a culture of experimentation, academic collaboration, and innovation in applied AI systems. Role Description Effileap Technologies is seeking a full-time, on-site Machine Learning Research Engineer – 3D Structures to join its advanced AI research division in Thiruvananthapuram. The role involves conducting applied research and development in 3D machine learning, focusing on spatial perception, geometric reasoning, and structure-aware neural network models. The researcher will explore novel algorithms for 3D object recognition, shape reconstruction, simulation data interpretation, and multimodal 3D-2D learning integration. Collaboration with domain experts in AI, physics-based simulation, and computer vision will be essential to advancing Effileap's research initiatives. Qualifications Experience in 3D geometry processing , neural implicit models , or geometric deep learning Strong foundations in mathematical modeling , optimization , and probabilistic machine learning Demonstrated ability to design and evaluate neural architectures for spatial or structural data Proficiency in Python and machine learning libraries such as PyTorch, TensorFlow , and PyTorch3D Experience with point clouds, meshes, or volumetric representations Familiarity with scientific computing tools (NumPy, SciPy, Open3D, CGAL, or similar frameworks) Knowledge in Computer Science, Applied Mathematics, Computational Engineering , or related field Prior contributions to AI research projects, academic publications, or open-source work will be a strong asset.