We are looking for a Senior Machine Learning Engineer with strong expertise in Deep Learning Computer Vision and Multimodal AI to join our team and work on advanced video and vision-based systems.
- Design train fine-tune and evaluate deep learning models using PyTorch/TensorFlow.
- Develop computer vision and video understanding models (CNNs ViTs 3D CNNs SlowFast I3D).
- Build solutions for video representation learning temporal modeling and action recognition.
- Implement and improve detection tracking and segmentation pipelines (YOLO DETR Mask R-CNN SAM).
- Contribute to multimodal AI systems integrating vision models with LLMs (CLIP BLIP-2 LLaVA Video-LLaMA).
- Prepare and manage video datasets (sampling preprocessing annotation).
- Build efficient data and training pipelines for large-scale video processing.
Qualifications :
- 7 years of experience in Machine Learning.
- Deep Learning expertise with hands-on experience designing training fine-tuning and evaluating custom neural networks.
- Strong proficiency with PyTorch (preferred) and TensorFlow.
- Computer Vision fundamentals (strong) CNNs feature extraction representation learning.
- Solid understanding of video processing and temporal modeling.
- Experience building end-to-end ML pipelines from data preparation to model evaluation.
Additional Information :
Good-to-Have Skills
- PyTorch (advanced usage and optimization).
- Computer Vision (advanced) detection tracking segmentation.
- Data Science on Azure (capable).
- Experience with model optimization (performance memory latency).
- Exposure to multimodal systems (vision language).
Energy infrastructure project.
Portugal.
Remote Work :
Yes
Employment Type :
Full-time
We are looking for a Senior Machine Learning Engineer with strong expertise in Deep Learning Computer Vision and Multimodal AI to join our team and work on advanced video and vision-based systems.Design train fine-tune and evaluate deep learning models using PyTorch/TensorFlow.Develop computer visio...
We are looking for a Senior Machine Learning Engineer with strong expertise in Deep Learning Computer Vision and Multimodal AI to join our team and work on advanced video and vision-based systems.
- Design train fine-tune and evaluate deep learning models using PyTorch/TensorFlow.
- Develop computer vision and video understanding models (CNNs ViTs 3D CNNs SlowFast I3D).
- Build solutions for video representation learning temporal modeling and action recognition.
- Implement and improve detection tracking and segmentation pipelines (YOLO DETR Mask R-CNN SAM).
- Contribute to multimodal AI systems integrating vision models with LLMs (CLIP BLIP-2 LLaVA Video-LLaMA).
- Prepare and manage video datasets (sampling preprocessing annotation).
- Build efficient data and training pipelines for large-scale video processing.
Qualifications :
- 7 years of experience in Machine Learning.
- Deep Learning expertise with hands-on experience designing training fine-tuning and evaluating custom neural networks.
- Strong proficiency with PyTorch (preferred) and TensorFlow.
- Computer Vision fundamentals (strong) CNNs feature extraction representation learning.
- Solid understanding of video processing and temporal modeling.
- Experience building end-to-end ML pipelines from data preparation to model evaluation.
Additional Information :
Good-to-Have Skills
- PyTorch (advanced usage and optimization).
- Computer Vision (advanced) detection tracking segmentation.
- Data Science on Azure (capable).
- Experience with model optimization (performance memory latency).
- Exposure to multimodal systems (vision language).
Energy infrastructure project.
Portugal.
Remote Work :
Yes
Employment Type :
Full-time
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