AI Machine Learning Engineer 3D Developer (remote part/full time)

Imnoo is seeking an AI Machine Learning Engineer 3D Developer to work remotely on a part‑ or full‑time basis. The company delivers a SaaS platform that analyses CNC components, automates quoting and planning, and links cloud services with real‑world manufacturing equipment, blending applied AI with heavy‑industry hardware for sustainable, profitable outcomes. In this role you will create sophisticated feature‑extraction pipelines and data‑processing tools for 3D CAD, 2D drawings, and batch inputs that feed the firm’s machine‑learning workflows. You will construct, train, and scale deep‑learning models capable of interpreting geometry, then integrate them into the quoting, calculation and optimisation engines. The job also involves extending existing 2D/3D/CAD utilities, and engineering cloud‑based APIs and automated training‑deployment services that move from prototype to production under real‑world load, spanning cloud, data, computer‑vision and ML layers. The position requires proven machine‑learning and deep‑learning expertise, demonstrated by building, training and shipping models with frameworks such as PyTorch, PyTorch Lightning or scikit‑learn. A solid mathematical foundation in linear algebra, geometry, statistics and probability is essential. Candidates must have at least five years of software‑engineering experience across both dynamic and static languages—typically Python together with C++ or C#—and possess strong problem‑solving abilities. Hands‑on background in game development, 3D geometry, rendering, fluid simulation or CUDA/GPU programming is a strict prerequisite, as is experience maintaining systems that operate under heavy load. Additional advantages include prior work on CAD system development or exposure to the CNC/mechanical sector, familiarity with ML‑industrial