Computer Vision Engineering - Talent Pool

Almetra; Berlin; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Stock options

Urban Sports Club

Quarterly team retreats

Flexible working hours

Diversity & inclusion

Zusammenfassung

Almetra in Berlin is seeking an experienced ML/Computer Vision engineer to help shape the future of industrial AI. You will specify your focus areas, attach your CV, and contribute to projects with real-world manufacturing impact.

Requirements include 5-7 years in computer vision or ML engineering, strong Python and PyTorch skills, plus experience with Docker, Kubernetes, and MLFlow or Airflow. The position emphasizes reliability, collaboration across a diverse team, and flexible working hours.

Qualifikationen

• 5-7 years experience in computer vision, ML engineering or production AI systems.
• Strong in Python, PyTorch and modern CV architectures.
• Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow).
• Familiar with distributed training, GPU management and inference optimisation.
• Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling.

Kenntnisse

Python

PyTorch

CV architectures

Distributed training

Cloud platforms

Tools

Docker

Kubernetes

MLFlow

Airflow

Jobbeschreibung

We believe the best work happens when people are excited about what they're building and understand how their expertise creates real impact. Instead of the traditional "one-size-fits-all" application process, we're asking you to be deliberate about where you want to make your mark.
This approach helps us understand your strengths upfront and ensures you're matched with work that energizes you. You'll know from day one what challenges you're tackling and how your contributions move the needle for our customers. By selecting your focus areas and attaching your CV, you're not just applying for a job, you're proposing how you want to shape the future of industrial computer vision with us.
General guidelines

• 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

You can now pick your areas in the Application form ->

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.