Senior Machine Learning Engineer – DAS / Acoustic Sensing at Avenga

Про вакансію

This is usAt 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 jobAt Artificial Intelligence and critical infrastructure intersection, we are looking for a Senior AI Engineer to help build next-generation vessel and intrusion detection systems using Distributed Acoustic Sensing (DAS) and AIS data.You’ll work on a highly innovative R&D initiative focused on protecting subsea communication infrastructure through advanced machine learning, computer vision, and signal processing techniques. The role combines deep learning, geospatial intelligence, and large-scale time-series analysis to validate real-world detection capabilities using acoustic cable data.This is the teamYou’ll join a senior-level engineering and research team working on applied AI solutions for real-world sensing systems. The team operates in an experimental R&D environment where rapid prototyping, scientific validation, and engineering pragmatism are equally important.In this role, you’ll collaborate with AI engineers, signal processing specialists, and infrastructure experts to design and validate machine learning pipelines for DAS-based vessel detection and subsea infrastructure monitoring systems.You’ll have the opportunity to:Work with cutting-edge multimodal datasets combining acoustic sensing and geospatial trackingExperiment with modern vision transformer architectures and deep learning pipelinesBuild scalable AI systems on Google Cloud infrastructureInfluence technical direction in an early-stage, high-impact projectThis is youStrong experience training and fine-tuning deep learning models in PyTorchHands-on experience with computer vision and transformer-based architectures such as DINO / Vision TransformersExperience building