30 - Computer Vision Engineer

30 - Computer Vision Engineer Join our global developer community — work on real projects, grow your portfolio, and enjoy flexible remote opportunities. Apply below. About the role We're looking for a computer vision engineer to join a small, autonomous team at an European startup building AI-powered machinery for automated visual inspection and sorting of physical materials. Their systems are already live in production at multiple client sites — this is not a research project, it's real machines making real-time decisions. The software stack is in good shape overall. The gap is specifically on computer vision. You'll work alongside the current computer vision engineer on real-time detection of features and attributes on physical items moving through the system. Real-time performance is a hard requirement — this is not an offline or batch process. The team is fast-paced and results-driven. You'll be expected to own your topic without close supervision. What you'll work on Real-time object detection and segmentation models running on live production machinery Detection of fine-grained features and attributes on varied, irregular physical items Model optimization for real-time inference performance The full model lifecycle: training, registry, deployment, and monitoring Must-have skills CV models RF-DETR YOLO segmentation Sliced/SAHI-style batched YOLO inference CLIP-style embeddings Cloud & MLOps Google Cloud Platform (Vertex AI) MLflow for model registry TensorRT Technical foundation Image processing Linux proficiency Docker containerization Who you are Autonomous — comfortable owning a topic without close supervision Result-oriented — you measure yourself by what ships and works Builder mindset — you'd rather get something running than write a perfect spec ATTENTION UPON DROPPING YOUR APPLICATION: Please, immediately send an email to [email protected] with subject 'Computer Vision Engineer – Your Name' sharing concrete examples of real-time computer vision work you've done in production. We're specifically interested in: Real-time detection or segmentation systems you've shipped — the model architecture (RF-DETR, YOLO, or equivalent), the latency constraints, and how you met them Sliced/SAHI-style inference you've implemented — the use case, why tiling was needed, and how you handled the throughput trade-offs CLIP-style embedding work — what you used the embeddings for (classification, retrieval, attribute detection) and how it performed in production TensorRT optimization you've done — what you converted, the speedup you achieved, and any precision or compatibility issues you solved Model lifecycle setups you've built or maintained on GCP (Vertex AI) and MLflow — how models moved from training to production Deployments on Linux/Docker in constrained or edge environments — especially anything running on or near physical hardware Department Outstaffing Remote status Fully Remote About Tunga Tunga is the go-to platform for hiring African software developers. Companies from all over the world use Tunga to hire African software developers to execute software projects, as full-time or part-time members of distributed software teams. Tunga’s mission is to create tech jobs for African youths and has a community of over 3000 software developers. We were founded in 2015 and have served over 250 clients from all over the world. Tunga’s clients have a diverse profile: SMEs, startups, corporates, and NGOs all belong to our client base.