Senior Machine Learning Engineer – DAS, Acoustic Sensing

This is a fully remote position, open to applicants in Poland.

📋 Description

• Conduct research and validate machine learning techniques for detecting vessels using DAS technology.

• Train and modify deep learning and computer vision models for interpreting acoustic signals.

• Create proof-of-concept AI systems that integrate DAS and AIS datasets.

• Develop scalable machine learning workflows utilizing Vertex AI and MLFlow.

• Analyze vessel signatures, including engine, propeller, and vibration patterns.

• Work collaboratively with cross-functional teams to achieve production-focused R&D results.

• Share findings, experiments, and validation outcomes with technical stakeholders.

⛳️ Requirements

• Proven experience in training and fine-tuning deep learning models using PyTorch.

• Practical experience with computer vision and transformer-based architectures like DINO / Vision Transformers.

• Experience in building ML pipelines and tracking experiments with MLFlow and Vertex AI.

• Strong Python programming skills and familiarity with modern AI development workflows.

• Experience dealing with time-series or signal processing data.

• Ability to operate comfortably in ambiguous R&D settings with changing requirements.

• Preferred qualifications: Familiarity with DAS, seismic, sonar, or other sensor-based systems.

• Knowledge of PostgreSQL/PostGIS and geospatial indexing (H3).

• Experience in deploying ML systems on the Google Cloud Platform.

• Understanding of acoustic signal analysis and spectral methods.

• Experience with multimodal data fusion (combining vision and sensor data).

🏝️ Benefits

• At Avenga, we believe that everyone matters. We offer equal opportunities in recruitment, career development, and leadership, irrespective of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic.

• We are dedicated to creating a work environment where our diverse community of employees, candidates, and business partners actively contributes to our growth.

• By uniting individuals from various backgrounds and experiences, we cultivate a workplace where everyone can be themselves while respecting the boundaries of others.