This is us
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
This is the job
We are looking for a Senior Engineer to join an innovative R&D initiative focused on vessel detection using Distributed Acoustic Sensing (DAS) data. You will work on cutting-edge machine learning solutions involving computer vision, signal processing, and deep learning architectures to analyze acoustic and vibration patterns generated by vessels.
This is you
- 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 (Python 3.11/3.12+) and experience working with modern development workflows
- Strong background in signal processing, time-series analysis, and large-scale data processing using PostgreSQL/PostGIS and H3
- Advanced English level with the ability to communicate effectively in international teams
This is your role
- Research and validate Machine Learning 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 ML metrics such as Precision/Recall and ROC curves
- Collaborate with cross-functional engineering and research teams in an international environment
What awaits you at Avenga?
At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.