Veltris - Computer Vision Engineer - Machine Learning Models

Role Overview :

- Develop computer vision pipelines including :

1. Object detection

2. Segmentation

3. Tracking

4. OCR

5. Image captioning

6. Visual Question Answering (VQA)

- Optimize models for low latency and real-time inference across edge devices and cloud infrastructure

- Work with large-scale datasets, data pipelines, and annotation workflows

- Build and maintain MLOps pipelines for model training, evaluation, and deployment

- Collaborate with engineering and product teams to integrate AI models into production systems

Required Skills :

- Strong experience with PyTorch, Computer Vision, and Deep Learning

- Hands-on experience with Transformers, CNNs, embeddings, and model fine-tuning

- Strong Python programming skills with solid engineering practices

- Experience with Git, CI/CD workflows, and Docker

- Familiarity with CUDA, ONNX/TensorRT, and AWS cloud services

Nice to Have :

- Experience with 3D vision techniques such as LiDAR, point clouds, NeRF, or depth estimation

- Experience deploying models on edge hardware (NVIDIA Jetson, Qualcomm, Apple Neural Engine)

- Research publications in ML/CV or active open-source contributions