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Almetra

Computer Vision Engineering - Talent Pool

Almetra is hiring a Computer Vision Engineering - Talent Pool in Berlin, Germany. Level rates it ; you can apply on Almetra.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include PyTorch, MLflow and MLOps.
  • Level classifies it as a senior role.
  • Level lists 17 other open roles at Almetra.

AI in this role

PyTorchMLflow
ml-opscomputer-vision

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.

How we rate this

Computer Vision Engineering - Talent Pool at Almetra rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsComputer visionPyTorchMLflow

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. What's a project where you used MLflow hands-on?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Computer vision, PyTorch, and MLflow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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