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Job Type

Full Time

Job Description

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 processingneural implicit models, or geometric deep learning
  • Strong foundations in

    mathematical modelingoptimization, 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.


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