Senior Machine Learning Engineer – DAS / Acoustic Sensing
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Job description
About the Position
Senior Machine Learning Engineer – DAS / Acoustic Sensing
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 UI design, managed services, product development, and software development.
At the intersection of Artificial Intelligence and critical infrastructure, 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.
Responsibilities
- 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
- 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
- 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)
We Offer
- Equal opportunities in recruitment, career development, and leadership
- A diverse and inclusive work environment
- Collaborative and innovative team environment
- Opportunity to work on impactful projects
About the Company
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.
Application Process
- APPLICATION: Send us your application.
- REVIEW: Our team carefully reviews every application.
- TALENT ACQUISITION INTERVIEW: Meet our Talent team.
- TECHNICAL INTERVIEW: Dive deeper into your expertise.
- CUSTOMER INTERVIEW: For some roles, a conversation with our clients.
- JOB OFFER: If it’s the right match, we will send you an offer.
- WELCOME!: Your new team is excited to meet you and build something great together.
Locations
- City: Poland
- Country: Poland
- Remote status: Fully Remote
Employment Type
- Type: Full-Time
- Experience level: Senior
Technology
- Core Skills: PyTorch, deep learning, computer vision, ML pipelines, MLFlow, Vertex AI, Python, time-series data, signal processing
- Secondary Skills: DAS, seismic, sonar, PostgreSQL, geospatial indexing, Google Cloud Platform, acoustic signal analysis, multimodal data fusion
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