Senior AI Engineer at Avenga

Sofia, Sofia-City, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

PyTorch, Vision Transformers, DINO, MLFlow, Vertex AI, Google Cloud Platform, Python, PostgreSQL, PostGIS, H3 Spatial Data, Signal Processing, Deep Learning, Image Classification, MLOps, Cloud Run, Distributed Acoustic Sensing

Industry

IT Services and IT Consulting

Description

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 In Bulgaria we are looking for a Senior Engineer to join an innovative R&D initiative focused on vessel detection using Distributed Acoustic Sensing (DAS) data. Design, develop, and deliver a Proof-of-Concept (PoC) system for validating the use of Distributed Acoustic Sensing (DAS) and Automatic Identification System (AIS) data for the detection of intrusions on subsea communication cables. The system is intended to provide early warnings of threats to critical infrastructure, enabling timely intervention. IMPORTANT NOTE: Working time required to have 1-2h overlap with US PST time zone This is you Machine Learning R&D: Validate the feasibility of using machine learning techniques on DAS data for vessel detection. Conduct literature analysis; Adapt, train, and integrate machine learning models (e.g., Computer Vision, Vision Transformers, or other model architectures ) to analyze DAS data for vessel detection, using vessel noises, e.g. engine, propeller, hull-wave interaction, other vibration patterns. This is your role Machine Learning Training: Training and fine-tuning deep learning models for image classification and feature extraction Machine Learning Frameworks: Expert-level proficiency in PyTorch and experience with specialized vision transformers like DINO (v2/v3) and deep learning vision models MLOps Tools: Extensive experience with MLFlow for artifact and metric tracking (Precision/Recall, ROC curves) and Vertex AI pipelines Cloud Infrastructure (GCP): Hands-on experience with Vertex AI model deployments, Cloud Run and high-performance ML model serving Cloud Based Development: Hands-on experience with Google Cloud Workstations and Vertex AI Workbench Notebooks based development flow Data Processing: Strong skills in PostgreSQL/PostGIS and the H3 for spatial data association. Signal Processing: Experience with Signal Processing and time-series data. A working knowledge about Distributed Acoustic Sensing or seismic data processing is preferred. Software Engineering: Proficiency in Python (version 3.11/3.12+), using modern package managers like uv What awaits you at Avenga? Through our values, Better Minds, Bolder Ideas, and Bigger Hearts, we strive to provide you with the tools, autonomy, trust, and assistance you need to excel. Enjoy benefits like private health insurance, well-being programs, flexible and hybrid work models, laptops and gear, training, language classes, social events, great offices, and more. 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.

Responsibilities

Design and develop a Proof-of-Concept system using DAS and AIS data to detect intrusions on subsea communication cables. Validate machine learning feasibility and integrate models to provide early warnings for critical infrastructure threats.