Sr Ai/ML Ops Engineer

Marc Ellis; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company in the UAE is seeking a Sr. AI/ML Engineer with expertise in computer vision and image processing. The ideal candidate will develop and optimize deep learning models for various applications while enhancing AI workflows. This role requires a strong foundation in AI technologies, with a focus on architectures that facilitate high-performance solutions in a real-world context.

Qualifications

• 5+ years of experience in computer vision solutions.
• Strong problem-solving skills in computer vision applications.
• Experience integrating AI models into software applications.

Responsibilities

• Develop & deploy AI models for object detection and segmentation.
• Fine-tune models and improve accuracy for domain-specific tasks.
• Optimize AI models for deployment and integration into software applications.

Skills

Computer Vision

Deep Learning

OCR

Symbol Extraction

Programming

Image Processing

Job description

Job Title: Sr. AI/ML Engineer (Computer Vision & Image Processing)

Objective: We are seeking an AI/ML Engineer with expertise in computer vision and image processing. The ideal candidate will develop and optimize deep learning models / VLMs for object detection, segmentation, classification, text extraction, and fine-tuning for domain-specific applications.

Key Responsibilities :

1.Develop & Deploy AI Models

· Train and optimize object detection, segmentation, and classification models for architectural drawings.

· Fine-tune YOLO, R-CNN, and Transformer-based models to improve accuracy and efficiency for domain-specific tasks.

· Implement OCR and symbol recognition for automated compliance checking.

2.Image Processing & Enhancement

· Develop lossless image compression and feature extraction techniques.

· Improve image pre-processing pipelines for architectural data quality.

· Utilize OpenCV and Deep Learning for drawing analysis.

3.Fine-Tuning & Model Adaptation

· Customize and fine-tune pre-trained vision-language models (VLMs) while enabling their multimodal AI capabilities.

· Optimize model parameters, embeddings, and transfer learning strategies to enhance performance and efficiency.

· Continuously improve AI models based on real-world feedback, evolving datasets, and domain requirements.

4. AI Model Optimization & Deployment

· Optimize model architectures to reduce computational costs while maintaining accuracy.

· Deploy AI models on cloud or on-prem infrastructure with Docker/Kubernetes is a plus.

· Integrate AI workflows into AutoCAD and BIM environments is a plus.

Key Skills & Technical Expertise:

· Computer Vision & Deep Learning: OpenCV, YOLO, R-CNN, Mask R-CNN, EfficientNet

· OCR & Symbol Extraction: Tesseract, EasyOCR, NLP for document parsing

· Fine-Tuning & Transfer Learning: Vision-Language Models (VLMs), CLIP, Transformer-based architectures

· Programming: Python, C++

· Cloud & Deployment: AWS, Azure, GCP, TensorFlow Serving, ONNX

· Image Processing: Feature extraction, noise reduction, compression techniques

General Skills & Competencies:

· 5+ years of Experience in the computer vision solutions

· Strong problem-solving skills in computer vision applications.

· Ability to optimize AI pipelines for real-world datasets.

· Experience integrating AI models into software applications.

· Familiarity with CAD tools (AutoCAD, Revit, DXF/DWF processing) is a plus.