Job Description

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 PyTorchand experience with specialized vision transformers like DINO (v2/v3)and deep learning vision models

• MLOps Tools:Extensive experience with MLFlowfor artifact and metric tracking (Precision/Recall, ROC curves) and Vertex AI pipelines

• Cloud Infrastructure (GCP):Hands-on experience with Vertex AImodel deployments, Cloud Runand 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/PostGISand the H3for 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.