Vessel-Detection ML Engineer (DAS) & Vision

Avenga; Union (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

Avenga is seeking 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 ML solutions involving computer vision, signal processing, and deep learning to analyze acoustic and vibration patterns from vessels.

You will collaborate with international teams, ship operators, and researchers to validate models, deploy scalable ML pipelines in GCP Vertex AI/Cloud Run, and measure performance with

Qualifications

• 5+ years of commercial experience in ML/DL engineering.
• Strong PyTorch and CV architectures experience, incl. Vision Transformers and DINO.
• Hands-on MLOps and cloud-based ML development with MLflow and Vertex AI.
• Solid Python engineering skills (Python 3.11/3.12+) and modern workflows.
• Background in signal processing, time-series analysis, and large-scale data processing (PostgreSQL/PostGIS, H3).
• Advanced English with ability to communicate in international teams.

Responsibilities

• Research and validate ML approaches for vessel detection using DAS data.
• Train, fine-tune, and optimize DL and CV models for acoustic signal analysis.
• Analyze vessel-related vibration and noise patterns (engine, propeller, hull-wave).
• Build and maintain scalable ML pipelines and deployments in GCP Vertex AI/Cloud Run.
• Track model performance with metrics like Precision/Recall and ROC.
• Collaborate with cross-functional teams in an international environment.

Skills

Machine Learning

Deep Learning

PyTorch

Vision Transformers

DINO

MLOps

Python

PostgreSQL

PostGIS

H3

English Fluency

Tools

MLflow

Vertex AI

Cloud Run

Job description

Avenga is seeking 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 ML solutions involving computer vision, signal processing, and deep learning to analyze acoustic and vibration patterns from vessels.

You will collaborate with international teams, ship operators, and researchers to validate models, deploy scalable ML pipelines in GCP Vertex AI/Cloud Run, and measure performance with