Veltris
Website:
veltris.com
Job details:
Role Overview
We are looking for a highly skilled Machine Learning / Computer Vision Engineer to design, develop, and deploy advanced AI models for real-world applications. The ideal candidate will have strong experience in deep learning, computer vision pipelines, and edge deployment, with the ability to optimize models for real time performance on edge devices and cloud platforms.
Key Responsibilities
- Design, build, and deploy machine learning models for edge environments
- Develop computer vision pipelines including :
- Object detection
- Segmentation
- Tracking
- OCR
- Image captioning
- 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
(ref:hirist.tech)
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