Senior AI Engineer

About the Position

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 UI 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

Responsibilities

• 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

Requirements

• 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

Nice to Have

• Experience with DINO (v2/v3) and deep learning vision models
• Experience with Google Cloud Workstations and Vertex AI Workbench Notebooks
• Experience with ML leadership

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Collaborative and inclusive workplace culture
• Professional growth and development opportunities

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.

Locations

• Skopje, North Macedonia
• Ohrid, North Macedonia
• Istanbul, Turkey

Remote Status

• Hybrid

Technology

• AI

Seniority

• Senior-level

Application Process

APPLICATION

Send us your application, we are ready to hear your story and explore how we can grow together.

REVIEW

Our team carefully reviews every application with curiosity and care. If your profile isn’t the right fit today, we will keep it in mind for future opportunities that match your skills and ambitions.

TALENT ACQUISITION INTERVIEW

You will meet our Talent team to talk about your goals and learn more about who we are, what we offer, and how we support our people.

TECHNICAL INTERVIEW

Our tech interview is all about diving deeper into your expertise and understanding your strengths, how you solve problems, and how you think – no trick questions, just a meaningful conversation.

CUSTOMER INTERVIEW

For some roles, especially when our clients are closely involved, you might also have a conversation with them – it’s a chance for everyone to align and get to know each other better.

JOB OFFER

If we both feel it’s the right match, we will send you an offer to join us. And even if it’s not the time just yet, you’ll always hear back from us.

WELCOME!

Your new team is excited to meet you, support you, and build something great together. Let’s make your first day the start of a journey that shapes a career that matters.

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