Computer Vision Engineer

Computer Vision EngineerQuantaleap is looking for a hands-on Computer Vision Engineer who can design, train and deploy deep-learning models that power real-time image and video analytics. You will collaborate with product, data and backend teams, so clear, proactive communication is essential.Key responsibilitiesResearch and prototype computer-vision algorithms for anomaly detection, object detection, tracking and segmentation.Create end-to-end image-processing and computer-vision pipelines.Train, fine-tune and optimise CNN and Transformer models in PyTorch or TensorFlow.Package and deploy models to cloud or edge environments with Docker and Kubernetes.Automate pipelines for image and video collection, augmentation and annotation.Monitor model performance in production and drive continuous improvement.Document findings and present results to technical and non-technical stakeholders.Must-have skills3–5 years building computer-vision solutions in production.Strong knowledge of computer vision and deep learning, including CNNs and Vision Transformers such as YOLO.Proficiency with PyTorch or TensorFlow, OpenCV and Python.Experience deploying models through REST or gRPC APIs, or on-device.Excellent written and verbal communication.Nice to haveKnowledge of CUDA, TensorRT or other inference-time optimisers.Experience with AWS or GCP ML services and streaming data such as Kafka or Kinesis.Experience implementing agentic AI.Familiarity with MLOps practices including CI/CD and model versioning.