Senior Machine Learning Engineer (7+ years)

AI overview

Join an innovative team to develop advanced deep learning models and multimodal AI systems that enhance video processing for complex operational challenges.

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.

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.