Senior Computer Vision Engineer

Stack

Responsibilities

• ▹Build and improve deepfake and liveness detection models using CNNs, attention layers and vision-language models
• ▹Design, train and evaluate models end to end
• ▹Fine-tune vision-language models using efficient methods such as LoRA
• ▹Make models smaller and faster for both cloud and on-device/mobile use
• ▹Build and maintain training and deployment pipelines on AWS (e.g. EC2, Athena)
• ▹Use AI-assisted coding tools such as Claude Code to speed up experimentation and prototyping
• ▹Share progress with technical and non-technical colleagues
• ▹Own independent research & development initiatives

Requirements

• ▹A BSc, MSc or PhD in engineering, computer science or a related field
• ▹At least 5 years of professional experience developing and deploying deep learning and computer vision models
• ▹Strong grasp of the end-to-end ML workflow
• ▹Solid grounding in modern neural network architectures, including convolutional networks and attention mechanisms
• ▹Working understanding of large language models (LLMs), vision-language models (VLMs) and adaptation techniques
• ▹Strong communication skills, able to present work to senior and non-technical stakeholders
• ▹Experience working in agile environments, with strong analytical and problem-solving skills
• ▹Expert-level Python, with proven experience building deep learning models in production
• ▹Professional experience with modern deep learning frameworks such as PyTorch, TensorFlow or JAX
• ▹Hands-on experience deploying and optimising models on AWS (e.g. EC2, Athena) and related MLOps services (MLflow etc.)
• ▹Experience optimising neural networks for deployment, including model compression, quantisation and runtime optimisation
• ▹Fluent in Linux/Unix and comfortable with Docker and containerised workflows
• ▹Day-to-day use of AI-assisted coding tools such as Claude Code

Nice to have

• ▹Familiarity with C++
• ▹Experience with deepfake detection, face anti-spoofing/liveness, biometric security or media forensics
• ▹Experience leading or mentoring machine learning engineers
• ▹Knowledge of GPU-based/distributed training and mobile deployment
• ▹Experience with AWS SageMaker

Soft skills

What we offer

• ▹Opportunity to work in a young but well-established international company where you have a direct and immediate impact
• ▹Unlimited paid holidays
• ▹Life insurance and 100% paid sick leave
• ▹Working from home setup
• ▹Innovative employee recognition and reward system, Bonusly
• ▹Strong benefit package including subsidized gym membership / sport

About the company

Adverteyes is a young but well-established international company where what you do has a direct and immediate impact.