Gen AI Engineer

About Tata Consultancy Services (TCS)

Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions, renowned for empowering enterprises worldwide through transformative digital journeys. With over five decades of industry expertise, TCS delivers a comprehensive portfolio of cognitive-powered, consulting-led services and solutions that integrate business, technology, and engineering. Leveraging the innovative Location Independent Agile™ delivery model, TCS has set the benchmark for excellence in software development, enabling seamless collaboration across geographies. As part of the esteemed Tata Group—India’s largest multinational business conglomerate—Tata Consultancy Services boasts a diverse workforce of 616,171 highly skilled professionals representing 157 nationalities, operating across 53 countries. For further details, visit www.tcs.com or follow TCS updates on @TCS_News.

Position Overview: Gen AI Engineer

We are seeking a highly motivated and skilled Gen AI Engineer to join our dynamic team in Dhahran, Saudi Arabia. In this full-time role, you will play a pivotal part in designing, developing, and deploying cutting-edge computer vision and generative AI solutions that drive innovation and operational excellence. The ideal candidate will possess a strong foundation in deep learning, computer vision, and real-time AI deployment, with a proven ability to translate complex technical concepts into scalable, production-ready systems. You will collaborate closely with cross-functional teams, including data engineers, software developers, and domain experts, to deliver high-impact AI solutions tailored to meet the evolving needs of our clients.

Key Responsibilities

• Model Development & Optimization: Design, develop, and deploy advanced computer vision models, including CNNs, YOLO architectures, Auto-Encoders, Vision-Language Models (VLMs), and OCR systems, to process and analyze real-time video streams and images with high accuracy and efficiency.
• Real-Time AI Deployment: Build and optimize deep learning pipelines for real-time inference, leveraging GPU acceleration, model quantization, and edge computing techniques to ensure low-latency performance in production environments.
• Data Annotation & Curation: Collaborate with data engineering teams to establish robust data annotation pipelines using tools such as Label Studio or CVAT. Clean, preprocess, and augment large-scale vision datasets to enhance model training and validation processes.
• Model Fine-Tuning & Training: Fine-tune and train YOLO, VLM, and OCR models (e.g., Paddle OCR) for specialized applications, including text detection, recognition, object detection, tracking, segmentation, and scene understanding in both static and dynamic visual data.
• Scalable AI Infrastructure: Deploy AI models using NVIDIA DeepStream SDK for multi-stream video processing, Docker for containerization, and microservices architecture to ensure scalability, reliability, and seamless integration into existing systems.
• API & Backend Development: Develop and maintain FastAPI-based microservices for model inference, enabling efficient integration with downstream applications and systems. Ensure robust API documentation, performance monitoring, and error handling.
• Performance Optimization & Feedback Loops: Continuously evaluate model performance through experimentation, A/B testing, and user feedback, implementing iterative improvements to enhance accuracy, speed, and robustness.
• Collaboration & Documentation: Work collaboratively with cross-functional teams to align AI solutions with business objectives. Maintain comprehensive documentation for models, pipelines, and deployment processes to facilitate knowledge sharing and operational continuity.

Technical & Functional Requirements

• Programming & Frameworks: Proficiency in Python with hands-on experience in deep learning frameworks such as PyTorch, TensorFlow, or PaddlePaddle. Strong familiarity with YOLO models, including training, fine-tuning, and deployment.
• Computer Vision Expertise: In-depth knowledge of CNNs, Auto-Encoders, Vision-Language Models (VLMs), and OCR frameworks (e.g., Paddle OCR) for text detection and recognition in images and video frames.
• Real-Time AI & Edge Computing: Experience with edge computing, GPU optimization, and model quantization techniques to deploy AI models efficiently in real-time environments. Familiarity with NVIDIA DeepStream SDK for multi-stream video processing and inference acceleration is highly desirable.
• Data & Annotation Tools: Experience with data preprocessing, augmentation, and pipeline design for vision tasks. Proficiency in using annotation tools such as Label Studio or CVAT to manage and clean annotated datasets.
• DevOps & MLOps: Exposure to CI/CD pipelines and MLOps best practices for vision systems, including model versioning, deployment automation, and monitoring. Experience with Docker for containerization and FastAPI for backend services is essential.
• Problem-Solving & Collaboration: Demonstrated ability to solve complex technical challenges in fast-paced environments. Strong communication skills and a collaborative mindset to work effectively with global, cross-functional teams.

Why Join TCS?

As a Gen AI Engineer at TCS, you will have the opportunity to work on groundbreaking AI projects that shape the future of industries across the globe. You will be part of a diverse, inclusive, and innovative team that values creativity, technical excellence, and continuous learning. TCS offers a dynamic work environment, competitive compensation, and numerous opportunities for professional growth and career advancement. Join us in driving the next wave of AI innovation and making a tangible impact on businesses and societies worldwide.

Application Deadline: June 30, 2026

Privacy Policy