COMPUTER VISION ENGINEER

Duncan & Ross; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A technology firm in Abu Dhabi seeks an experienced Computer Vision Engineer to develop AI solutions that bridge image understanding and natural language processing. Candidates should have a strong proficiency in Python and frameworks like PyTorch and TensorFlow, with experience in multimodal AI and deep learning. This role offers a competitive salary and opportunities for innovation in AI applications.

Qualifications

• 3-7 years of experience in computer vision, deep learning or multimodal AI.
• Strong proficiency in Python and AI frameworks.
• Experience integrating LLMs with vision systems.

Responsibilities

• Develop and implement computer vision models.
• Integrate vision models with LLMs.
• Design AI pipelines for multimodal learning.

Skills

Computer Vision

Deep Learning

Python

Transformers

Multimodal AI

Education

Bachelor's or Master's degree in Computer Science

Tools

TensorFlow

PyTorch

OpenCV

Job description

JOB SUMMARY

We are seeking an experienced Computer Vision Engineer with a strong background in AI and Large Language Models (LLMs). The ideal candidate will design, build and deploy computer vision solutions that integrate with generative AI and LLM frameworks to interpret, analyze and describe visual data. This role bridges the gap between image understanding and natural language processing enabling intelligent visual-language applications.

KEY RESPONSIBILITIES

• Develop and implement computer vision models for image classification, object detection, segmentation, facial recognition and visual understanding.
• Integrate vision models with LLMs (e.g., GPT, LLaVA, CLIP or multimodal models) to build systems that interpret and describe visual content.
• Design AI pipelines that combine text, images and video data for multimodal learning and reasoning.
• Utilize deep learning frameworks (TensorFlow, PyTorch, OpenCV) to prototype and deploy models.
• Collaborate with data scientists and AI researchers to fine-tune vision-language models for specific tasks such as visual QA, captioning or scene analysis.
• Implement data preprocessing, augmentation and for large-scale image datasets.
• Conduct performance benchmarking, optimization and deployment of models in production environments.
• Research and experiment with emerging techniques in Generative AI, multimodal transformers and neural architecture optimization.
• Develop APIs and tools for internal teams to utilize vision-LLM capabilities.
• Ensure compliance with ethical AI practices including bias mitigation and data privacy.

QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, AI, Computer Vision or related field (PhD preferred).
• 3-7 years of experience in computer vision, deep learning or multimodal AI.
• Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, Keras and OpenCV.
• Experience integrating LLMs (GPT, Claude, Gemini or open-source models) with vision systems.
• Solid understanding of transformer architectures, CNNs, diffusion models and attention mechanisms.
• Familiarity with multimodal datasets (COCO, Visual Genome, etc.) and evaluation metrics for vision tasks.
• Experience with cloud-based AI tools (Azure AI, AWS SageMaker, Google Vertex AI, etc.).
• Ability to write clean, scalable and production-grade code.
• Strong analytical, problem-solving and communication skills.

PREFERRED QUALIFICATIONS

• Experience with multimodal LLM frameworks such as CLIP, BLIP, LLaVA or Kosmos-2.
• Background in natural language processing and prompt engineering.
• Hands‑on experience with edge deployment (NVIDIA Jetson, OpenVINO, ONNX).
• Knowledge of reinforcement learning, generative models or 3D vision.
• Publications or open‑source contributions in AI research are a plus.