
5001 - 10000 employees
🤝 B2B
🏢 Enterprise
💰 Private equity on 2017-02
B2B • Enterprise
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
🕒 May 26
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5001 - 10000 employees
🤝 B2B
🏢 Enterprise
💰 Private equity on 2017-02
B2B • Enterprise
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
• 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.
• 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).
• 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.
Apply Now🕒 May 8
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🇵🇱 Poland – Remote
💰 Private Equity Round on 2019-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Java
Linux
Python
Scala