SpOvum Technologies Private Limited

Selected Intern's Day-to-day Responsibilities Include Ingests images & video through a FastAPI microservice Handles preprocessing, inference & post-processing (YOLO v8+) on GPUs/CPUs Experiment tracking and Eval pipeline through MLFlow or similar framework Model comparison and selection through label studio or fiftyone with different business metrics Serves models via TensorFlow Serving, NVIDIA Triton, or a similar framework Persists metadata & predictions in a SQL database for downstream analytics Visualize the predictions, Ships repeatably with Docker / Docker Compose (and optionally Kubernetes) You will contribute across the stack—from Python data pipes and model code to API endpoints and deployment scripts. About Company: SpOvum Technologies Private Limited is a deep-tech medical devices company in Bangalore. Founded by the alumni from IISc, SpOvum has built and commercialized a patented first-of-its-kind device that will improve outcomes in the In-Vitro Fertilization (IVF, aka test-tube babies).