Vision X Principal with Gen / AI architect.

Exp : 15yrs to 23yrs

Primary skills

Key Responsibilities

• Define and lead the end-to-end technical architecture for vision-based AI systems across edge and cloud.
• Design and optimize large-scale video analytics pipelines using NVIDIA DeepStream, TensorRT, and Triton Inference Server.
• Architect distributed AI systems, including model training, deployment, inferencing, monitoring, and continuous learning.
• Collaborate with product, research, and engineering teams to translate business requirements into scalable AI solutions.
• Lead efforts in model optimization (quantization, pruning, distillation) for real-time performance on devices like Jetson Orin/Xavier.
• Drive the integration of multi-modal AI (vision + language, 3D, audio) where applicable.
• Guide platform choices (e.g., edge AI vs cloud AI trade-offs), ensuring cost-performance balance.
• Mentor senior engineers and promote best practices in MLOps, system reliability, and AI observability.
• Stay current with emerging technologies (e.g., NeRF, Diffusion Models, Vision Transformers, synthetic data).
• Contribute to internal innovation strategy, including IP generation, publications, and external presentations.

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🛠️ Required Technical Skills

• Deep expertise in computer vision, deep learning, and multi-modal AI.
• Proven hands-on experience with:

• NVIDIA Jetson, DeepStream SDK, TensorRT, Triton Inference Server

• TAO Toolkit, Isaac SDK, CUDA, cuDNN

• Strong in PyTorch, TensorFlow, OpenCV, GStreamer, and GPU-accelerated pipelines.
• Experience deploying vision AI models at large scale (e.g., 1000+ cameras/devices or multi-GPU clusters).
• Skilled in cloud-native ML infrastructure: Docker, Kubernetes, CI/CD, MLflow, Seldon, Airflow
• Proficiency in Python, C++, CUDA (or PyCUDA), and scripting.
• Familiar with 3D vision, synthetic data pipelines, and generative models (e.g., SAM, NeRF, Diffusion).

• Experience in multi modal (LVM/VLM), SLMs, small LVM/ VLM, Time series Gen AI models, Agentic AI, LLMOps/Edge LLMOps, Guardrails, Security in Gen AI, YOLO/Vision Transformers

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🤝 Soft Skills & Leadership

• 10+ years in AI/ML/Computer Vision, with 8+ years in technical leadership or architect roles
• Strong leadership skills with experience mentoring technical teams and driving innovation.
• Excellent communicator with the ability to engage stakeholders across engineering, product, and business.
• Strategic thinker with a practical mindset—able to balance innovation with production-readiness.
• Experience interfacing with enterprise customers, researchers, and hardware partners.

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🧩 Preferred Qualifications

• MS or PhD in Computer Vision, Machine Learning, Robotics, or a related technical field ( Added Advantage )

• Experience with NVIDIA Omniverse, Clara, or MONAI for healthcare or simulation environments.
• Experience in domains like smart cities, robotics, retail analytics, or medical imaging.
• Contributions to open-source projects or technical publications.
• Certifications: NVIDIA Jetson Developer, AWS/GCP AI/ML Certifications.