Resaro was founded on the belief that AI will change the world in ways we cannot even imagine, but every new technology needs safeguards to advance.
About the Role
We are seeking a highly skilled AI Engineer (Computer Vision) to design, build, and deploy CV-based evaluation and testing capabilities on the Resaro platform. You will work across research and product teams, translating state-of-the-art computer vision (CV) models into robust, domain-specific solutions — from medical and X-ray imaging to aerial and defence applications.
You will be responsible for the entire development lifecycle, including data pipeline design, model training and optimisation, scalable deployment, and integration into production testing modules.
Key Responsibilities
Core (Technical)
- Build and deploy end-to-end computer vision pipelines, covering data ingestion, preprocessing, training, evaluation, inference, and monitoring.
- Utilise deep expertise across core computer vision tasks, including:
- Object detection, segmentation (semantic / instance / panoptic), and classification
- Tracking, keypoint detection, OCR, and anomaly detection (bonus)
- Adapt generic, off-the-shelf, open-source models (e.g. COCO-based, DETR, YOLO, SAM, ViT, diffusion models) to domain-specific environments such as medical, X-ray, aerial, or defence imagery.
- Optimise models for deployment, applying quantisation, pruning, and ONNX or TensorRT optimisation to balance accuracy, latency, and resource efficiency.
- Develop automated labelling, perturbation, and synthetic data generation pipelines for model evaluation and robustness testing.
- Deploy CV inference workloads into scalable serving architectures (Triton, FastAPI + GPU orchestration, Docker).
- Deliver production-grade Python code integrated within the Resaro platform.
Product & Collaboration
- Work closely with Responsible AI Scientists to define evaluation methodologies and robustness testing strategies.
- Work with backend and platform engineers to integrate CV services within Resaro’s microservice framework.
- Contribute to best practices in model testing, explainability, auditability, and reproducibility.
What We’re Looking For
- 3+ years experience building and deploying CV systems in production environments.
- Strong foundation across major CV tasks and state-of-the-art architectures.
- Proven ability to adapt pre-trained models to domain-specific datasets (e.g. medical, X-ray, satellite).
- Solid experience in model optimisation and efficient deployment, including quantisation, ONNX, and TensorRT.
- Proficiency in Python, PyTorch, TensorFlow, and modern inference frameworks.
- Familiarity with MLOps, containerised deployment (Docker/Kubernetes), and data pipeline automation (labelling, augmentation, synthetic data generation).
Why This Role?
You’ll be on the frontlines of AI adoption — helping organizations transform how they work, make decisions, and solve complex problems. If you love working with clients and turning AI into real impact, this is your role.
ABOUT US
Resaro is a global AI Assurance company, pioneering the field of AI testing and evaluation. We are a team of AI experts, engineers, and data scientists. Our mission is to ensure an AI market worthy of trust.
Resaro is an Equal Opportunity Employer. We respect each individual and support the diverse cultures, perspectives, skills and experiences within our teams.
