We’re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You’ll own the full lifecycle of CV systems — from model integration and orchestration to deployment on cloud and edge environments.
Your role
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
5–7 years experience in computer vision, ML engineering or production AI systems
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)
Familiar with distributed training, GPU management and inference optimisation
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling
Pragmatic engineer — focused on reliability, reproducibility and maintainability
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
Why this role matters
You bridge research and production — turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360° feedback, and flexible working hours
Ethics⚖: We are committed to developing ethical AI software
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.
*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
Skills Required
- 5-7 years of experience in computer vision, ML engineering, or production AI systems
- Strong Python and PyTorch skills
- Experience with modern computer vision architectures, including temporal transformers, detection, and tracking
- Experience with Docker and Kubernetes containerization and orchestration
- Experience with MLflow, Airflow, or similar MLOps tooling
- Familiarity with distributed training, GPU management, and inference optimization
- Understanding of cloud infrastructure such as AWS
- Experience deploying computer vision models on edge devices or embedded systems
- Familiarity with TensorRT, quantization, and real-time inference optimization
- Background in video analytics, action recognition, or multimodal perception
- Understanding of model orchestration frameworks and large data pipelines
What We Do
Almetra is a Berlin-based industrial AI company building an intelligence layer for manufacturing. Its platform uses privacy-preserving video, computer vision, and AI to continuously capture activity on production lines, analyze work steps, cycle times, and material movements, and identify root causes of performance issues. Almetra combines real-time operational insights with continuous-improvement support to help factories increase productivity, quality, and efficiency.
