Senior Computer Vision Engineer (m/f/d)

Deltia; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Stock options

Flexible working hours

Inclusive culture

Zusammenfassung

A leading AI software company in Berlin is seeking a skilled Computer Vision Engineer. This role involves developing and deploying advanced computer vision models, managing cloud and edge deployments, and collaborating with teams to ensure robust system integration. Ideal candidates have 5–7 years of experience, strong programming skills in Python and PyTorch, along with familiarity in modern computer vision architectures and cloud environments. The company promotes diversity and offers a supportive and innovative working culture.

Qualifikationen

• 5–7 years experience in computer vision or ML engineering.
• Strong background in modern CV architectures and Python.
• Experience with cloud infrastructure and MLOps tooling.

Aufgaben

• Develop and deploy computer vision models for applications.
• Optimize and manage GPU clusters and Docker environments.
• Collaborate to transition prototypes into production systems.

Kenntnisse

Python

PyTorch

Computer vision architectures

CI/CD practices

Docker

Kubernetes

Tools

MLFlow

Airflow

Jobbeschreibung

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

You are

• 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

Nice to have

• 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

A competitive salary & stock options*

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?

Deltia 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.