SeniorFull TimeENEurope
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 you
Machine Learning R&D: Validate the feasibility of using
machine learning techniques on DAS data for vessel detection.
Conduct literature analysis; Adapt, train, and integrate
machine learning models (e.g., Computer Vision, Vision
Transformers, or other model architectures ) to analyze DAS
data for vessel detection, using vessel noises, e.g. engine,
propeller, hull-wave interaction, other vibration patterns.
This is your role
Machine Learning Training: Training and fine-tuning deep learning models for image classification and feature extraction
Machine Learning Frameworks: Expert-level proficiency in PyTorch and experience with specialized vision transformers like DINO (v2/v3) and deep learning vision models
MLOps Tools: Extensive experience with MLFlow for artifact and metric tracking (Precision/Recall, ROC curves) and Vertex AI pipelines
Cloud Infrastructure (GCP): Hands-on experience with Vertex AI model deployments, Cloud Run and high-performance ML model serving
Cloud Based Development: Hands-on experience with Google Cloud Workstations and Vertex AI Workbench Notebooks based development flow
Data Processing: Strong skills in PostgreSQL/PostGIS and the H3 for spatial data association.
Signal Processing: Experience with Signal Processing and time-series data. A working knowledge about Distributed Acoustic Sensing or seismic data processing is preferred.
Software Engineering: Proficiency in Python (version 3.11/3.12+), using modern package managers like uv
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.
