About the Job:
Join the company as a Gen AI Engineer in Dhahran, Saudi Arabia. This full-time, on-site role involves designing, developing, and deploying advanced computer vision models for real-time processing of multiple camera streams.
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About Us:
The company is a leading IT services, consulting, and business solutions organization with over 50 years of experience in transforming businesses worldwide. As part of a group, the company employs over 616,171 professionals from 157 nationalities across 53 countries, providing cognitive-powered integrated services through its innovative Location Independent Agile™ model.
Job Description:
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Must Have Technical/Functional Skills:
- Experience with video analytics, object detection, tracking, segmentation, and scene understanding.
- Exposure to edge computing, GPU optimization, and model quantization for real-time deployment.
- Familiarity with CI/CD pipelines and MLOps practices in vision systems.
- Experience with large-scale vision datasets and data curation tools.
- Proficiency in Python, with hands-on experience in PyTorch, TensorFlow, or Paddle Paddle.
- Experience with YOLO models, including training, fine-tuning, and deployment.
- Working knowledge of CNNs, Auto-Encoders, and Vision-Language Models (VLMs) for images and videos.
- Experience using Paddle OCR or similar OCR frameworks for text detection and recognition in images and video frames.
- Experience with NVIDIA Deep Stream SDK for multi-stream video processing and inference acceleration.
- Familiarity with annotation tools such as Label Studio or CVAT, including managing and cleaning annotated datasets.
- Experience building and deploying microservices with Fast API and Docker.
- Strong understanding of data preprocessing, augmentation, and pipeline design for vision tasks.
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Roles & Responsibilities:
- Design, develop, and deploy computer vision models for processing multiple real-time camera streams.
- Build and optimize deep learning pipelines using CNNs, YOLO, Auto-Encoders, Vision-Language Models (VLMs), and OCR models.
- Fine-tune and train YOLO, VLM, and OCR models for image and video understanding, including text detection and recognition.
- Collaborate with data engineering teams to develop data annotation pipelines and clean large-scale datasets.
- Utilize tools such as Label Studio or CVAT for annotation tasks to ensure high-quality labeled data.
- Deploy models using NVIDIA Deep Stream, Docker, and microservices architecture for scalable production environments.
- Develop APIs and backend services using Fast API for model inference and integration.
- Continuously improve model performance through experimentation, evaluation, and feedback loops.
- Contribute to the documentation, scaling, and maintenance of vision systems in production.
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Generic Managerial Skills:
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Application Deadline: June 30, 2026
Language Requirements: Proficiency in English (implied but not explicitly stated).
