About the Role

We are seeking an experienced
Computer Vision Developer
to design, build, and deploy production grade CV models that run reliably at the edge. You will own the full lifecycle — from model development through
optimization, deployment
on embedded and IoT hardware, and ongoing MLOps

— delivering
real-time vision systems
that operate in resource-constrained, real-world environments.

Job Location: Chennai/Bangalore (Hybrid)

Key Responsibilities

• Develop, train, and optimize production-grade computer vision models — object detection,

instance segmentation, classification, and tracking.

• Deploy and optimize models on embedded AI platforms and edge devices for low-latency, real

time inference.

• Build and integrate end-to-end CV pipelines into IoT systems and edge-to-cloud architectures.

• Apply model optimization techniques — quantization, pruning, distillation, and hardware

acceleration — to meet edge constraints.

• Establish and maintain robust MLOps practices: CI/CD for ML, model versioning, monitoring, drift

detection, and automated retraining pipelines.





• Benchmark and profile model performance (latency, throughput, memory, power) across target

hardware.

• Collaborate with hardware, firmware, and product teams to ship reliable, scalable edge AI

solutions.

• Maintain high standards of code quality, documentation, and reproducibility across the model

lifecycle.

Required Skills & Experience

• 6 – 8 years of hands-on experience in
computer vision and deep learning.

• Strong proficiency in
Python and CV / DL frameworks (PyTorch, TensorFlow, OpenCV).

• Proven track record building and deploying production-grade CV models.

• Deep expertise in instance segmentation and
real-time CV systems.

• Hands-on embedded AI / edge deployment experience
(e.g., NVIDIA Jetson, TensorRT,

OpenVINO, Coral, ARM-based platforms).

• Experience with IoT architectures and edge–cloud integration.

• Solid
MLOps skills
: CI/CD, containerization (Docker),

📌 Computer Vision Developer (Chennai)
🏢 Mindsprint
📍 Chennai