About the Job:
As a Data Scientist – Computer Vision Engineer at the company, you will play a key role in designing, developing, and deploying cutting-edge computer vision models. This full-time position is located in Dhahran, Eastern, Saudi Arabia.
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About Us:
The company is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. The company offers a consulting-led, cognitive-powered, integrated portfolio of business, technology, and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of a large multinational business group, the company has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.company.com.
Job Description:
Key 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 (such as PaddleOCR) 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 and ensure high-quality labeled data.
- Deploy models using NVIDIA DeepStream, Docker, and microservices architecture for scalable production environments.
- Develop APIs and backend services using FastAPI 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.
Preferred Qualifications:
- 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.
Application Deadline: 31-Dec-2025
Language Requirements: Not specified.
