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 runs a SaaS platform that analyses CNC components, automates quoting and planning, and links cloud services directly to manufacturing equipment, emphasizing sustainability and a decade of proven AI‑driven value for industrial clients. In this position you will create sophisticated feature‑extraction pipelines and data‑processing routines for three‑dimensional CAD, two‑dimensional, and batch inputs that feed the firm’s machine‑learning workflows. You will also construct, train, and scale deep‑learning models that interpret geometry, supporting the quoting, calculation and optimisation engines. The role involves extending existing 2D/3D/CAD tooling, as well as designing, building and maintaining cloud APIs and automated model‑training and deployment services that move from prototype to production under real‑world load, spanning cloud, data, computer‑vision and ML layers. Candidates must bring hands‑on machine‑learning and deep‑learning expertise, having built and shipped models with frameworks such as PyTorch, PyTorch Lightning or scikit‑learn. A solid grasp of linear algebra, geometry, statistics and probability is required, alongside at least five years of software‑engineering experience across both dynamic and static languages—typically Python together with C++ or C#. Proven ability to work with game‑development concepts, 3D geometry, rendering, fluid simulation or CUDA/GPU programming is essential, as is experience operating production‑grade systems that handle heavy traffic. Additional assets include familiarity with CAD system development or exposure to CNC and mechanical sectors, knowledge of model‑industrialisation tools like ONNX, quantisation, Docker and MLOps practices, and competence in handling large datasets, cloud platforms (AWS or Azure), SQL/NoSQL stores and full‑stack frameworks such as Angular. The role offers high autonomy within a fragmented industry, allowing you to prototype, test and deploy end‑to‑end solutions that directly influence factory‑floor operations.