Senior AI engineer Computer vision solution Architect
at AI Startup company
PythonRole Overview
We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation
solutions.
Key Responsibilities
Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.
Build and deploy models for object detection, image segmentation, classification, and tracking.
Mentor and guide junior engineers on deep learning best practices and scalable software engineering.
Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.
Work with YOLO-based and transformer-based models for industrial use-cases.
Lead integration of AI systems into production with hardware, backend, and DevOps teams.
Develop automated benchmarking, annotation, and evaluation tools.
Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.
Required Skills
Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and
tracking (Deep SORT).
Sound understanding of real-time video analytics and inference optimization.
Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.
Familiarity with OpenCV, NumPy, and image processing techniques.
Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)
Good to Have
Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.
Exposure to production-level MLOps practices.
Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.
Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.
Publications, patents, or open-source contributions in the AI/ML space.
Qualifications
B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.
4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.
Strong portfolio or demonstrable projects in production environments
Shubham Vishwakarma
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Follow CutshortShubham Vishwakarma
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