Overview

We are seeking a highly skilled Computer Vision Engineer specialising in real-time

detection, pose estimation, and movement analysis to design and deliver robust vision-

based intelligence systems. The role focuses on building scalable pipelines capable of

detecting people and objects, analysing human movement patterns, and tracking individuals

across frames in real-world environments.

This position will play a critical role in developing production-grade systems that operate

reliably across varying lighting conditions, camera angles, occlusions, and live video feeds,

ensuring consistent performance in real deployment scenarios.

Key Responsibilities

Design and implement real-time computer vision pipelines for person and object

detection.

Develop advanced pose estimation and movement analysis models to interpret body

posture, gestures, and motion patterns.

Build multi-object tracking systems to accurately track individuals across frames and

maintain identity persistence over time.

Optimise models for low-latency inference suitable for edge and near-edge





deployments.

Ensure system robustness across diverse environmental conditions, including varying

lighting, occlusions, and camera perspectives.

Integrate computer vision models with video ingestion, streaming, and processing

frameworks.

Perform model evaluation and benchmarking using real-world datasets and live feeds.
Collaborate with cross-functional teams to align vision models with business use cases

and operational requirements.

Continuously improve detection accuracy and tracking stability using state-of-the-art

techniques.

Skills & Qualifications

Robust expertise in Computer Vision and Deep Learning techniques is required.

The candidate should have hands-on experience with object detection approaches such as YOLO,Faster R-CNN, and SSD; pose estimation frameworks such as OpenPose, HRNet, and

MediaPipe; and multi-object tracking methods such as DeepSORT, ByteTrack, and OC-SOR

📌 ML Engineer (Bengaluru)
🏢 Durapid Technologies Private
📍 Bengaluru