Senior AI Engineer (AI)

TL;DR

Senior AI Engineer (PyTorch/GCP): Developing machine learning solutions for vessel detection using Distributed Acoustic Sensing (DAS) data with an accent on computer vision, signal processing, and deep learning architectures. Focus on training and optimizing Vision Transformers, building scalable ML pipelines in GCP, and analyzing acoustic vibration patterns.

Location: Must be based in one of the EU countries

Company

hirify.global is a global technology services provider with over 6000 specialists offering business and tech advisory, enterprise solutions, and software development.

What you will do

• Research and validate ML approaches for vessel detection using Distributed Acoustic Sensing (DAS) data.
• Train, fine-tune, and optimize deep learning and Computer Vision models for acoustic signal analysis.
• Analyze vessel-related vibration and noise patterns, including engine, propeller, and hull-wave interaction signals.
• Build and maintain scalable ML pipelines and model deployments in GCP using Vertex AI and Cloud Run.
• Track and evaluate model performance using metrics such as Precision/Recall and ROC curves.
• Collaborate with cross-functional engineering and research teams in an international environment.

Requirements

• 5+ years of commercial experience in Machine Learning / Deep Learning engineering.
• Strong expertise with PyTorch and modern Computer Vision architectures, including Vision Transformers and DINO.
• Hands-on experience with MLOps and cloud-based ML development using MLflow and Vertex AI.
• Solid Python engineering skills (3.11/3.12+) and experience with modern development workflows.
• Background in signal processing, time-series analysis, and large-scale data processing using PostgreSQL/PostGIS and H3.
• Advanced English level (C1) for effective communication in international teams

Culture & Benefits

• Equal opportunities in recruitment, career development, and leadership regardless of background.
• Commitment to fostering a diverse and inclusive work environment.
• Opportunity to work on an innovative R&D initiative.
• Collaborative international atmosphere where every employee matters.

Hiring process

• Application review and curiosity-driven screening.
• Talent Acquisition interview to align on goals and company culture.
• Technical interview focused on expertise and problem-solving approach.
• Customer interview for specific role alignments.
• Final job offer.