Systems Integration Specialist Advisor at NTT DATA

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Python, PyTorch, TensorFlow, OpenCV, Deep Learning, Cloud Architecture, Edge AI, Kubernetes, Docker, CI/CD, Object Detection, Segmentation, Model Optimization, Distributed Systems, MLOps

Industry

IT Services and IT Consulting

Description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Specialist Advisor to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Computer Vision Architect with Python Location: PAN India (Bangalore, Hyderabad, Chennai, Pune, Noida and Gurgaon) Notice period: 30 Days Role Overview We are seeking a highly experienced Computer Vision Architect to design, lead, and scale enterprise-grade vision-based AI systems. The ideal candidate will combine deep expertise in computer vision algorithms with strong Python development skills and architectural experience deploying production-ready AI solutions across cloud and edge environments. This role requires a strategic technical leader capable of translating complex business problems into scalable, high-performance vision solutions. Key Responsibilities Architecture & Solution Design Design end-to-end computer vision architectures for real-time and batch processing systems. Lead the development of scalable vision pipelines for object detection, classification, segmentation, tracking, OCR, and anomaly detection. Architect high-performance inference systems for cloud, on-prem, and edge deployments. Define model lifecycle management standards (training, validation, deployment, monitoring). Algorithm & Model Development Develop and optimize deep learning models using Python-based frameworks (PyTorch, TensorFlow, Keras). Implement state-of-the-art computer vision models (CNNs, Vision Transformers, YOLO, Mask R-CNN, etc.). Design data preprocessing, augmentation, and annotation pipelines. Improve model accuracy, robustness, and performance under real-world conditions. Productionization & Optimization Optimize models for low-latency and high-throughput environments. Implement model quantization, pruning, and hardware acceleration (GPU, TPU). Deploy models using containerization (Docker) and orchestration (Kubernetes). Integrate CI/CD pipelines for vision model deployment. Cloud & Edge Deployment Architect solutions across AWS, Azure, or GCP (SageMaker, Vertex AI, Azure ML). Design edge AI solutions using frameworks like TensorRT, OpenVINO, ONNX. Ensure scalable data storage and streaming integration (Kafka, Spark, etc.). Governance, Security & Compliance Establish data governance standards for image/video datasets. Implement secure data pipelines and access controls. Ensure compliance with privacy and regulatory standards (PII handling in image/video data). Leadership & Strategy Mentor and guide ML engineers and data scientists. Evaluate emerging computer vision technologies and define adoption strategy. Collaborate with product, engineering, and business stakeholders to align AI initiatives with enterprise goals. Contribute to innovation roadmap and long-term AI strategy. Required Qualifications 8+ years of experience in software engineering and AI/ML. 6+ years of hands-on experience in Computer Vision system design. Advanced proficiency in Python. Strong expertise in OpenCV, PyTorch, TensorFlow, NumPy, and SciPy. Experience implementing object detection, segmentation, and tracking systems. Strong understanding of image processing fundamentals and deep learning architectures. Experience deploying AI models into production environments. Experience with cloud platforms (AWS/Azure/GCP). Solid understanding of distributed systems and performance optimization. Preferred Qualifications Experience with Vision Transformers and multimodal AI systems. Knowledge of edge AI frameworks (TensorRT, OpenVINO, ONNX Runtime). Experience working with large-scale video analytics systems. Familiarity with MLOps tools (MLflow, Kubeflow). Publications, patents, or contributions in computer vision research. Experience leading global technical teams. Leadership Competencies Strategic architectural thinking. Strong communication and stakeholder management skills. Ability to balance innovation with production reliability. Ownership mindset and accountability for enterprise-scale solutions. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Responsibilities

Design and lead the development of scalable, enterprise-grade computer vision architectures for real-time and batch processing systems. Mentor engineering teams while ensuring model performance, security, and compliance across cloud and edge environments.