Senior Computer Vision Engineer

Responsibilities

• Develop and deploy computer vision models for real-world video and sensor applications
• Build reliable training, evaluation and inference pipelines for large-scale data
• Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads
• Implement CI/CD, versioning and orchestration for ML pipelines
• Collaborate with research engineers to transition prototypes into scalable, production-grade systems
• Work with robotics and platform teams to ensure robust deployment at the edge

Requirements

• 5–7 years experience in computer vision, ML engineering or production AI systems
• Strong proficiency in Python and PyTorch
• Experience with modern CV architectures (e.g. temporal transformers, detection, tracking)
• Experience with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow)
• Familiarity with distributed training, GPU management and inference optimisation
• Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling
• Pragmatic approach focused on reliability, reproducibility and maintainability

Preferred Qualifications

• Experience deploying CV models on edge devices or embedded systems
• Familiarity with TensorRT, quantisation, and real-time inference optimisation
• Background in video analytics, action recognition or multi-modal perception
• Understanding of model orchestration frameworks and large data pipelines

Benefits

• Employee Share Options Program for all permanent employees
• Urban Sports club membership
• Quarterly team retreats
• Flexible working hours
• Flat hierarchy and open 360° feedback

About the Company

Almetra is an AI-first software company focused on defining the future of artificial intelligence in manufacturing through robust, real-time computer vision systems.