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    • Background in AR/VR or applied computer vision products.
    • Strong experience with computer vision and pose estimation (MediaPipe, OpenPose, or MoveNet) *at…
    • View all Digixvalley Pvt Ltd jobs - Lahore jobs - Computer Vision Engineer jobs in Lahore
    • Salary Search: Associate Computer Vision Engineer salaries in Lahore
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    • Integrate AI models with backend systems and APIs.
    • Background in AR/VR or applied computer vision products.
    • Strong experience with computer vision and pose estimation (MediaPipe, OpenPose, or MoveNet) *at…
    • This role is responsible for gathering, analyzing, and documenting functional and technical requirements, ensuring alignment between customer needs, product…
    • 3 to 5 years of professional experience designing, deploying, and optimizing production-grade computer vision and AI systems.
    • Paid Time Off for Holidays.
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Job Post Details

Associate Computer Vision Engineer - job post

Digixvalley Pvt Ltd
Lahore

Job details

Job type

  • Full-time

Location

Lahore

Full job description

Job Description: Computer Vision / AI Engineer
Position Title
Computer Vision / AI Engineer

Responsibilities :

  • Implement real-time human pose detection from live video (body landmark detection)
  • Extract measurements/features from pose landmarks, with calibration methods for converting relative measurements to real-world units
  • Build 2D/3D fitting pipelines (affine/TPS warping, 3D body mesh reconstruction, mesh draping)
  • Design and expose ML pipelines as services/APIs that client applications can consume
  • Build and maintain RAG (Retrieval-Augmented Generation) pipelines using LangChain or similar frameworks
  • Handle real-world variance: different angles, partial occlusion, lighting, noisy inputs
  • Write clean, modular, well-documented code
  • Benchmark and tune pipelines for real-time performance

Required Skills

  • Strong experience with computer vision and pose estimation (MediaPipe, OpenPose, or MoveNet) at least 1-2 Years of Proven Professional Experience .
  • Strong Python skills, with production experience in PyTorch
  • Understanding of 3D human/body modeling (SMPL/SMPL-X) - or willingness to learn
  • Experience with image warping techniques (affine transforms, Thin Plate Spline)
  • Experience with LangChain, RAG pipelines, and LLM-based application development
  • Experience building or consuming inference APIs (REST/gRPC/WebSocket)
  • Experience with cloth/garment simulation or 3D mesh draping (Blender physics, SNUG, or similar research models)
  • Experience with vector databases (Pinecone, Chroma, FAISS, etc.) for RAG
  • Experience with ONNX Runtime for optimized inference
  • Background in AR/VR or applied computer vision products
  • Familiarity with open-source 3D reconstruction models (PIFuHD or similar)

Required Tech Stacks :

Layer Tools Pose Detection MediaPipe Pose / OpenPose Body Modeling SMPL / SMPL-X, PIFuHD Fitting/Warping 2D TPS Warping, 3D mesh draping LLM / RAG LangChain, vector databases ML Framework PyTorch, ONNX Runtime Backend/API Python (FastAPI/Flask or similar) Video Input OpenCV / video stream handling Deliverables

  • Working pose detection + fitting pipeline, exposed via API
  • RAG/LangChain-based module for relevant use case
  • Documentation of pipelines and how to extend them
  • Performance benchmarks

Work Location: In person

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