Gen AI Engineer

About the Company

Tata Consultancy Services (TCS) is a global IT services, consulting, and business solutions firm that has supported major organizations worldwide through long-term transformation partnerships for more than 50 years. The company delivers consulting-led, cognitive-powered, integrated technology and engineering services using its Location Independent Agile™ approach, which is known for setting a standard in software development. TCS is part of the Tata group and employs more than 616,171 consultants representing 157 nationalities across 53 countries.

Role Overview

This position is for a Gen AI Engineer based in Dhahran, Saudi Arabia. It is a full-time onsite role within TCS MEA.

Technical Skills Needed

• Hands-on experience in video analytics, including object detection, tracking, segmentation, and scene interpretation.
• Exposure to edge deployment, GPU tuning, and model compression/quantization for low-latency use cases.
• Working knowledge of CI/CD workflows and MLOps methods for vision-based systems.
• Experience handling large vision datasets along with annotation and curation tools.
• Strong programming ability in Python, with practical use of PyTorch, TensorFlow, or PaddlePaddle.
• Experience training, adapting, and deploying YOLO-based models.
• Understanding of CNNs, auto-encoders, and vision-language models for both image and video tasks.
• Experience with OCR frameworks such as PaddleOCR for detecting and recognizing text in images and video frames.
• Practical knowledge of NVIDIA DeepStream SDK for multi-stream processing and accelerated inference.
• Familiarity with annotation platforms such as Label Studio or CVAT, including dataset cleanup and label management.
• Ability to create and deploy microservices using FastAPI and Docker.
• Solid grasp of preprocessing, augmentation, and end-to-end pipeline design for computer vision workloads.

Key Responsibilities

• Build, refine, and launch computer vision solutions that can process several live camera streams at once.
• Develop efficient deep learning pipelines using CNNs, YOLO, auto-encoders, vision-language models, and OCR technologies.
• Train and tune YOLO, VLM, and OCR models such as PaddleOCR for image and video understanding tasks, including text extraction and recognition.
• Work with data engineering teams to set up annotation workflows and prepare large datasets for model training.
• Use Label Studio or CVAT to manage annotation activities and maintain high-quality labeled data.
• Deploy models in scalable production environments through NVIDIA DeepStream, Docker, and microservices-based architectures.
• Create APIs and backend components with FastAPI to support model inference and system integration.
• Improve model quality continuously through testing, experiments, evaluations, and iterative feedback.
• Support documentation, scaling, and ongoing maintenance of vision systems in production.

Managerial and Soft Skills

• Strong analytical and troubleshooting ability in a fast-moving work environment.
• Clear communication and the ability to work well with cross-functional teams.

Additional Information

Application deadline: 30-June-2026.

Privacy Note

The privacy policy for this opportunity is available on TCS's official website.