Computer Vision Engineering - Talent Pool

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.

• 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

*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.