to develop and deploy real-time computer vision models for cloud and edge platforms. You'll work on high-impact solutions across retail and manufacturing sectors, contributing to tasks like object detection, image segmentation, SKU classification, and vision-language integrations.
This role requires prior experience in building scalable AI models and deploying them in production settings.
Key Responsibilities
Design, build, and optimize deep learning models for:
Object Detection
Image Classification & Segmentation
Preprocess, clean, and annotate image datasets (product and shelf images).
Implement real-time inference pipelines using
PyTorch
,
OpenCV
,
ONNX
, and
TensorRT
.
Benchmark models for precision, recall, F1 score, latency, and memory footprint.
Deploy models on cloud and edge devices (Jetson, DGX, RTX platforms).
Collaborate with Product, QA, and Software Engineering teams to push models into production and monitor real-time performance.
Required Qualifications
1.5 to 2.5 years of hands-on experience in
Computer Vision
and
Deep Learning
Strong Python programming skills
Experience with DL frameworks, especially
PyTorch
Knowledge of object detection architectures like
YOLO
,
Faster R-CNN
,
EfficientDet
, etc.
Proficiency in
OpenCV
, image preprocessing, and augmentation
Familiarity with model conversion/optimization tools (ONNX, TensorRT)
Comfortable with
Linux
,
Docker
,
Git
, and
Jupyter Notebook
workflows
Preferred (Good to Have)
Exposure to
DINOv2
,
SAM
,
CLIP
,
Florence-2
Understanding of edge deployment constraints (model size, speed, memory)
Previous experience in
retail analytics
or
manufacturing quality control
pipelines
Familiarity with
multi-GPU setups
,
CUDA
, or inference benchmarking tools
Why Join Us
Work with a
vision-first AI product company
driving impact across industries
Access to cutting-edge infrastructure (DGX servers, edge IPCs, multi-GPU environments)
Solve real-world challenges and deploy production-grade AI systems
Opportunity to
lead projects
,
mentor junior engineers
, and grow into senior roles
Job Types: Full-time, Permanent
Pay: From 25,000.00 per month
Benefits:
Health insurance
Work from home
Work Location: Remote
Application Deadline: 15/08/2025
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