Django Rest Framework | Ai Full Stack Engineer

AI Full Stack Engineer -Building the Future of Computer Vision & ML Infrastructure- I am looking for a technical generalist passionate about building end-to-end AI solutions with proven experience in developing a cutting-edge pipeline for computer vision, tabular, and LLM projects – from image ingestion to annotation, training, and deployment.
Key Responsibilities: Core product development spanning browser-based ML (TensorFlow.js), API development, and deployment infrastructure End-to-end ML pipelines integrating computer vision, real-time processing, and model optimization Cross-platform solutions using JavaScript/Node.js and Python, deployed via Firebase, GCS, AWS, or Azure Docker-based infrastructure for both internal tools and customer-facing products Technical Requirements: Expert-level React/Next.js + TypeScript development Strong Python skills with FastAPI/Django experience Deep understanding of PyTorch/TensorFlow deployment and ONNX for model interoperability Proven experience with GCP/AWS infrastructure and Docker containerization Expertise in real-time data visualization and integration of computer vision, Tabular, and LLM Advanced knowledge of PostgreSQL and Redis AI DevOps Experience: 3+ years building production AI applications Proven track record in ML model deployment & optimization Extensive REST/GraphQL API development background System architecture design for scalable AI applications Deliverables: Design and implement ML model serving infrastructure Build interactive UIs for model training/deployment Develop real-time data processing pipelines Create and maintain API integrations Drive performance optimization initiatives #J-18808-Ljbffr