Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing, training, and evaluating deep learning models for advanced video and vision-based systems with an accent on computer vision, multimodal AI, and large-scale video processing. Focus on building solutions for video representation learning, temporal modeling, and action recognition, and implementing detection, tracking, and segmentation pipelines.

Location: Portugal (Service Region: Iberia)

Company

hirify.global is a digital product engineering company building inspiring, exciting, and delightful products, services, and experiences.

What you will do

• 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.
• Prepare and manage video datasets and build efficient data and training pipelines for large-scale video processing.

Requirements

• 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.
• Strong computer vision fundamentals (CNNs, feature extraction, representation learning).
• Solid understanding of video processing and temporal modeling.
• Experience building end-to-end ML pipelines.

Nice to have

• Advanced PyTorch usage and optimization.
• Advanced Computer Vision (detection, tracking, segmentation).
• Data Science on Azure.
• Experience with model optimization (performance, memory, latency).
• Exposure to multimodal systems (vision + language).

Culture & Benefits

• Dynamic and non-hierarchical work culture.
• Opportunity to scale knowledge and lead teammates.
• Tackle client challenges and elevate solutions.
• Part of a global team of 18,000+ experts across 39 countries.