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Machine Learning Engineer - 3D Generalist

Onliest LLC

Visakhapatnam · On-site Full-time Mid Level Today

About the role

Onliest - Build What the World Has Never Seen

At Onliest, we believe extraordinary products are built by people who think differently.

About Onliest

  • We foster an environment where:
    • Ideas are valued over hierarchy
    • Ownership is expected, not assigned
    • Innovation is continuous, not occasional
  • You won’t just contribute, you will shape the product, the platform, and the future of the company itself.

Why Onliest

Global by Design

  • Work across borders with teams in India, Dubai, and the United States. Your work will have a direct global impact, and your growth can take you anywhere within the organisation.

Merit-Driven Growth

  • At Onliest, growth is not defined by time; it is defined by impact. Exceptional performers unlock accelerated opportunities, including global mobility and leadership roles.

Built with the Latest Technology

  • Work hands‑on with advanced AI systems, intelligent design engines, and next‑generation digital platforms that are redefining industries.

Create What Doesn’t Exist Yet

  • We are building products that have never been created before, blending luxury, personalisation, and technology at a scale the world has not yet seen.

A Brand with Global Ambition

  • Onliest is not just a company, it is a vision to build one of the world’s most prestigious luxury‑tech ecosystems, spanning digital platforms, manufacturing, and design innovation across continents.

This Is Your Moment

  • If you want a predictable job, this may not be for you. But if you want to build, innovate, and leave a mark on the future, there is no better place.
  • Onliest isn’t just where you work. It’s where you create your legacy.

Role: AI‑Machine Learning Engineer (3D Graphics Specialist)

  • Experience: 3+ years in Machine Learning, Computer Vision, and 3D Graphics Development.

We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise. In this role, you will be responsible for developing and optimising 3D models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualisation modules that enhance the user experience.

Key Responsibilities

3D Model Development

  • Design and develop 3D models using ML‑based body shape estimation.
  • Implement pose estimation, texture mapping, and deformation models.
  • Use ML algorithms to adjust measurements for accurate sizing and fit.

Machine Learning & Computer Vision

  • Develop and fine‑tune ML models for body shape recognition, segmentation, and fitting.
  • Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV.
  • Use GANs or CNNs for realistic 3D texture generation.

3D Graphics & Visualization

  • Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity.
  • Optimise mesh processing, lighting, and shading for real‑time rendering.
  • Use GPU‑accelerated techniques for rendering efficiency.

Model Optimization & Performance

  • Optimise inference pipelines for faster real‑time rendering.
  • Implement multi‑threading and parallel processing for high performance.
  • Utilise cloud infrastructure (AWS/GCP) for distributed model training and inference.

Collaboration & Documentation

  • Collaborate with UI/UX designers for seamless integration of 3D models into the web and mobile apps.
  • Maintain detailed documentation for model architecture, training processes, and rendering techniques.

Key Skills & Qualifications

Technical Skills

  • Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV.
  • Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity.
  • Experience with 3D model formats (GLTF, OBJ, FBX).
  • Familiarity with Mesh Recovery, PyMAF, and SMPL models.

ML & Data Skills

  • Hands‑on experience with GANs, CNNs, and RNNs for texture and pattern generation.
  • Experience with 3D pose estimation and body measurement algorithms.

Cloud & Infrastructure

  • Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run).
  • Knowledge of Docker and Kubernetes for model deployment.

Graphics & Visualisation

  • Knowledge of 3D rendering engines with shader programming.
  • Experience in optimisation techniques for rendering large 3D models.

Soft Skills

  • Strong problem‑solving skills and attention to detail.
  • Excellent collaboration and communication skills.

How to Apply

We would love to hear from you at **careers@onliestworld

Requirements

  • Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV.
  • Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity.
  • Experience with 3D model formats (GLTF, OBJ, FBX).
  • Familiarity with Mesh Recovery, PyMAF, and SMPL models.
  • Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation.
  • Experience with 3D pose estimation and body measurement algorithms.
  • Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run).
  • Knowledge of Docker and Kubernetes for model deployment.
  • Knowledge of 3D rendering engines with shader programming.
  • Experience in optimisation techniques for rendering large 3D models.
  • Strong problem-solving skills and attention to detail.
  • Excellent collaboration and communication skills.

Responsibilities

  • Design and develop 3D models using ML-based body shape estimation.
  • Implement pose estimation, texture mapping, and deformation models.
  • Use ML algorithms to adjust measurements for accurate sizing and fit.
  • Develop and fine-tune ML models for body shape recognition, segmentation, and fitting.
  • Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV.
  • Use GANs or CNNs for realistic 3D texture generation.
  • Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity.
  • Optimise mesh processing, lighting, and shading for real-time rendering.
  • Use GPU-accelerated techniques for rendering efficiency.
  • Optimise inference pipelines for faster real-time rendering.
  • Implement multi-threading and parallel processing for high performance.
  • Utilise cloud infrastructure (AWS/GCP) for distributed model training and inference.
  • Collaborate with UI/UX designers for seamless integration of 3D models into the web and mobile apps.
  • Maintain detailed documentation for model architecture, training processes, and rendering techniques.

Skills

AWS LambdaBabylon.jsCNNsComputer VisionDockerDjangoFBXGANsGCPGLTFKubernetesMachine LearningOBJOpenCVPyMAFPyTorchPythonRNNsSageMakerSMPLTensorFlowThree.jsUnityVertex AICloud Run

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