Computer Vision & AI/ML Engineer

About the role

We are seeking a Computer Vision & AI/ML Engineer to design, develop, and deploy advanced computer‑vision and machine‑learning solutions for people and vehicle detection, classification, tracking, and behavior analysis. The role involves working with large image and video datasets, optimizing models for real‑time edge inference, and integrating AI services into production systems.

Key responsibilities

• Design and implement computer‑vision and AI/ML models for detection, classification, tracking, and behavior analysis.
• Develop real‑time object detection and recognition systems using deep‑learning techniques and modern CV frameworks.
• Prepare, annotate, train, validate, and evaluate image/video datasets from surveillance and edge devices.
• Apply object detection, motion tracking, image classification, and pattern‑recognition techniques to solve real‑world problems.
• Develop and integrate Vision‑Language Models (VLMs) for visual understanding and intelligent AI applications.
• Deploy and optimize CV models on edge devices, focusing on low‑latency inference and resource efficiency.
• Build and expose REST APIs to connect AI/CV models with production applications and backend systems.
• Collaborate with product and engineering teams to embed AI models and CV pipelines into production environments.
• Continuously improve model performance through dataset refinement, augmentation, fine‑tuning, and feature engineering.
• Conduct error analysis, implement advanced filtering and post‑processing, and monitor performance across diverse environments and hardware.
• Translate AI and CV results into clear insights, metrics, and visualisations for technical and non‑technical stakeholders.
• Stay up‑to‑date with state‑of‑the‑art research in computer vision, deep learning, VLMs, and edge AI.

Required profile

Required skills

• Computer Vision
• Machine Learning
• Deep Learning
• Vision‑Language Models
• Edge AI
• REST APIs