Gen AI Engineer

Job Title – Gen AI Engineer

Company – TCS (MEA)

Location – Dhahran, Saudi Arabia

Job type – Full time

About Us:

Tata Consultancy Services (TCS) 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. TCS 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 the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.

Job Description:

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 both 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.

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 (such as Paddle OCR ) for both 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 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.

Generic Managerial Skills, If any

• 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: 30-June-2026

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