Senior Machine Learning Engineer (7+ years)

Company Description

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

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

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.