Sr Ai/ML Ops Engineer

Marc Ellis; United Arab Emirates; On-site; AED 120,000 - 180,000; Full time

Job summary

An innovative firm is looking for a skilled Sr. AI/ML Engineer specializing in computer vision and image processing. In this role, you will develop and optimize deep learning models for tasks like object detection and segmentation, utilizing cutting-edge technologies such as YOLO and OpenCV. The position demands a strong background in AI and image processing, along with experience in deploying models on cloud infrastructure. Join a forward-thinking team where your expertise will drive advancements in AI applications, making a significant impact in the field of architecture and design. If you're passionate about pushing the boundaries of technology, this opportunity is for you.

Qualifications

• 5+ years of experience in computer vision solutions required.
• Strong problem-solving skills in computer vision applications.

Responsibilities

• Develop and optimize AI models for object detection and image processing.
• Integrate AI workflows into AutoCAD and BIM environments.

Skills

Computer Vision

Deep Learning

OpenCV

YOLO

R-CNN

Python

C++

OCR

NLP

Transfer Learning

Education

Bachelor's Degree in Computer Science or related field

Tools

TensorFlow

Docker

Kubernetes

AWS

Azure

GCP

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; experience with Docker/Kubernetes is a plus.
   • Integrate AI workflows into AutoCAD and BIM environments; experience in this area 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 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.