Senior AI Engineer

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

We are looking for an AI/ML Engineer to design, develop, and deliver a Proof-of-Concept (PoC) system for validating the use of Distributed Acoustic Sensing (DAS) data and other signal processing time-series data for detection of intrusions in critical infrastructure, enabling timely intervention.

You will validate the feasibility of using machine learning techniques on signal processing time-series data for object detection (specifically vessel detection using vessel noises – engine, propeller, hull-wave interaction, vibration patterns). You will conduct literature analysis, adapt and train machine learning models (Computer Vision, Vision Transformers, or similar), and integrate them with DAS data.

This is you

• Experience validating the feasibility of using machine learning techniques on signal processing time-series data for object detection
• Experience conducting literature analysis and research in applied ML
• Experience training and fine-tuning deep learning models for image classification and feature extraction
• Expert-level proficiency in PyTorch
• Experience with specialized vision transformers like DINO (v2/v3) and deep learning vision models
• Extensive experience with MLFlow for artifact and metric tracking (Precision/Recall, ROC curves)
• Hands-on experience with Vertex AI model deployments, Cloud Run and high-performance ML model serving
• Hands-on experience with Google Cloud Workstations and Vertex AI Workbench Notebooks based development flow
• Strong skills in PostgreSQL/PostGIS and H3 for spatial data association
• Experience with Signal Processing and time-series data
• A working knowledge about Distributed Acoustic Sensing (DAS) or seismic data processing is preferred
• Proficiency in Python (version 3.11/3.12+), using modern package managers like uv
• ML leadership experience (not just agents/LLMs) – ability to review the business problem, set designs, and drive technical decisions

• Validate the feasibility of using ML techniques on signal processing time-series data for object detection
• Conduct literature analysis and research
• Adapt, train, and integrate machine learning models (CV, Vision Transformers) to analyze time-series data for object detection
• Design and execute experiments to iterate toward accurate detection models
• Document experiments and use insights to define production-ready solutions
• Collaborate with data engineers, domain experts, and other ML engineers
• Ensure model reliability, performance, and observability in production environments
• Contribute to architectural decisions, code reviews, and engineering best practices