About the Role

Have you ever wondered what happens behind the cameras capturing vehicles on roads, parking facilities, and critical infrastructure? At Blackbird Labs powered by Riwi , we are partnering with a leading innovator in Automated License Plate Recognition technology to build next-generation computer vision solutions at scale.

We are looking for a Senior Applied ML Engineer with deep expertise in Computer Vision , Deep Learning , and Production AI Systems . You will work on advanced solutions involving object detection, OCR, image retrieval, visual embeddings, and multimodal AI, taking models from research to real-world deployment.

What You'll Do

- Design, train, optimize, and deploy computer vision models.
- Improve object detection, image classification, OCR, and image similarity systems.
- Research and evaluate modern architectures including CNNs, Transformers, CLIP, and Vision-Language Models (VLMs).
- Optimize inference performance, latency, model size, and scalability.




- Convert and deploy models using ONNX and production inference frameworks.
- Partner with software engineers to integrate ML solutions into high-volume production environments.

What We're Looking For
- 5+ years of experience in Machine Learning, Computer Vision, or Applied AI.
- Strong hands-on experience with PyTorch , OpenCV , and ONNX .
- Expertise in object detection, OCR, image processing, and deep learning architectures.
- Experience with CNNs, Transformers, CLIP-style models, and Vision-Language Models.
- Strong understanding of model optimization, deployment, and production ML pipelines.
- Ability to evaluate and improve model performance through experimentation and analysis.

Nice to Have
- Experience with OpenVINO, vector databases, and image retrieval systems.
- Knowledge of YOLO, multimodal AI, and foundation models.
- Experience building scalable computer vision services and APIs.

📌 Senior Applied ML Engineer, Computer Vision R&D (Colombia)
🏢 Riwi.io
📍 Colombia