Avenga AB · Poland
Senior Machine Learning Engineer – DAS / Acoustic Sensing
This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of s...
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 the job
At 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 team
You’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 tracking
Experiment with modern vision transformer architectures and deep learning pipelines
Build scalable AI systems on Google Cloud infrastructure
- Influence technical direction in an early-stage, high-impact project
This is you
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)
This is your role
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
What awaits you at Avenga?
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.
Roll
Senior Machine Learning Engineer – DAS / Acoustic Sensing
Kategori
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Plats
Publicerad
25 maj
Sista ansökningsdag
3 september
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