Junior Ship Digital Twin Modeling Engineer
(Rhinoceros 3D)
Location: CFARER Office Pune
Team: Data Management
Reports to: Head of Data Management
Build the systems that keep ships moving.
At CFARER, we create software that helps crews and offices work in rhythm.
Our promise is simple: making maritime life easier.
The Junior Ship Digital Twin Modelling Engineer supports the development of 3D ship digital twin models using Rhinoceros 3D. This role focuses on converting 2D plans, point-clouds, and engineering data into accurate 3D geometry to support digital twin, simulation, and visualization purposes.
3D Modelling Support
Build 3D models of hull, structures, piping, decks, and equipment using Rhinoceros 3D.
Assist in preparing digital twin geometry based on GA plans, equipment schedules, and as-built drawings.
Apply project-defined modelling standards, layers, LOD, and naming conventions.
Point-Cloud & Scan Data Handling
Support integration of point-cloud data into Rhino environments.
Clean, segment, and interpret scan data under guidance from senior engineers.
Assist in validating as-built geometry accuracy.
Documentation & Outputs
Generate sections, layouts, and visualisations from 3D models.
Prepare reports, screenshots, and clash coordination outputs.
Maintain documentation, revision records, and model updates.
Collaboration
Work closely with senior modellers and project managers.
Coordinate with data engineers and software teams for model handover and integration.
Participate in model review meetings and adopt feedback for revisions.
Diploma or Degree in Naval Architecture, Marine Engineering, Mechanical Engineering, or equivalent.
0–3 years of experience in CAD/3D modelling (ship modelling experience preferred but not mandatory).
Basic to intermediate skills in Rhinoceros 3D.
Exposure to point-cloud tools or ship engineering drawings is advantageous.
Ability to read GA plans, structural drawings, and equipment layouts.
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Strong attention to detail and willingness to learn.
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Proactive attitude toward improving modelling accuracy and speed.
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Good communication and teamwork skills.
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Ability to manage multiple tasks with supervision.
An international work environment and culture.
Great learning and development opportunities.
A challenging and stimulating role combining customer success and data analysis.
