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Avenga

Senior Machine Learning Engineer – DAS, Acoustic Sensing

Avenga

Senior AI Engineer at Avenga focused on next-generation vessel and intrusion detection systems through AI and machine learning techniques. Working in an experimental R&D environment with cross-functional teams.

Posted 5/26/2026full-timeRemote • 🇵🇱 PolandSeniorWebsite

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformPostGISPostgresPythonPyTorch

About the role

Key responsibilities & impact
  • Research and validate machine learning approaches for DAS-based vessel detection
  • Train and adapt deep learning and computer vision models for acoustic signal interpretation
  • Build proof-of-concept AI systems integrating DAS and AIS datasets
  • Develop scalable ML workflows using Vertex AI and MLFlow
  • Analyze vessel signatures including engine, propeller, and vibration patterns
  • Collaborate with cross-functional teams to deliver production-oriented R&D outcomes
  • Present findings, experiments, and validation results to technical stakeholders.

Requirements

What you’ll need
  • Strong experience training and fine-tuning deep learning models in PyTorch
  • Hands-on experience with computer vision and transformer-based architectures such as DINO / Vision Transformers
  • Experience building ML pipelines and experiment tracking using MLFlow and Vertex AI
  • Strong Python engineering skills and modern AI development workflows
  • Experience working with time-series or signal processing data
  • Comfortable operating in ambiguous R&D environments with evolving requirements
  • Nice-to-have skills: Experience with DAS, seismic, sonar, or other sensor-based systems
  • Familiarity with PostgreSQL/PostGIS and geospatial indexing (H3)
  • Experience deploying ML systems on Google Cloud Platform
  • Understanding of acoustic signal analysis and spectral methods
  • Experience with multimodal data fusion (vision + sensor data).

Benefits

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
machine learningdeep learningcomputer visionPyTorchML pipelinesexperiment trackingPythonsignal processingmultimodal data fusionacoustic signal analysis
Soft Skills
collaborationcommunicationadaptabilityproblem-solving