Computer Vision Engineer

Qualifications

• Strong Engineering background with Python development skills with production-quality engineering practices (testing, logging, packaging, code review discipline).
• Proven experience using OpenCV, PyTorch, Torchvision in real projects.
• Experience training models on large datasets for object detection and/or classification, including data balancing, augmentation strategy and performance validation.
• Demonstrated experience shipping computer vision models into production (not only notebooks): integration, monitoring, reliability and iteration cycles.
• Hands‑on API/model‑serving experience using FastAPI (or equivalent modern framework).
• Ability to design and implement end‑to‑end pipelines covering data, training, evaluation and deployment.
• Practical experience with fine‑tuning workflows and experiment management (hyperparameters, ablations, reproducibility).
• Docker‑based packaging and environment reproducibility.
• Basic cloud deployment exposure (any major provider) and comfort with CI/CD workflows.
• Ability to debug performance/reliability issues across the inference stack (pre/post‑processing, batching, GPU/CPU utilization, memory, latency regressions).
• Self‑driven, motivated and proactive personality

Your Tasks

In this role you will act as a Computer Vision Engineer to build and deploy high‑performance vision systems for object detection, OCR and vision‑language model (VLM) workflows. You will own model development from data strategy through training, optimisation and production deployment with strong engineering standards and measurable impact in real‑world use.

• Build production‑grade CV systems spanning object detection, classification, OCR and VLM‑based extraction/reasoning, ensuring stability, accuracy and predictable latency in real‑world conditions.
• Design dataset architecture and scalable pipelines for large training volumes, including labeling strategy, guidelines, QA processes and dataset audits.
• Train and fine‑tune models at scale using PyTorch/Torchvision, run systematic experiments, ablations and error analyses to drive measurable improvements.
• Implement MLOps and release discipline: experiment tracking, model registry/versioning, reproducible training, CI/CD, monitoring, rollback plans and incident‑friendly operations.
• Adhere evaluation and acceptance criteria by building evaluation harnesses powered by metrics and dashboards for accuracy, robustness, calibration, drift sensitivity, latency/throughput and set release gates for production.
• Deploy models via APIs (e.g., FastAPI) and integrate with backend/product pipelines, storage and downstream workflows to productionize models as services.
• Optimize inference performance using ONNX / ONNX Runtime and TensorRT, applying FP16/INT8 quantisation and profiling to meet cost and latency targets.
• Maintain high‑quality engineering standards: clean architecture, testing, documentation, performance hygiene and maintainability practices suitable for long‑term partnership.

Flexible working hours, home office and workation

We always say: What counts is the result and not whether you are present in the office from 8:00 am to 5:00 pm. That is why our team can arrange their time independently and flexibly.

Hardware and equipment

It is important to us that our employees have everything they need at their workplace. We are happy to provide our employees with their own notebook, company telephone, etc. if required.

Individual further training opportunities

Our employees should always be up to date. That’s why we cover up to 100 % of the costs of training and continuing education. Also for books and technical literature.

Company team

A fit mind is related to a fit body. That’s why we are happy to pay the participation fee when our team takes part in sports events together.

Sometimes you just need some fun to get back to full power at work. That’s why you can find our team now and then at the football table in our fun corner.

Company events

Our employees are often faced with tough challenges, and successes should be celebrated appropriately. That is why we attach great importance to joint employee events.

JobRad

Stay fit and eco‑friendly with JobRad – whether you’re commuting to work or riding in your free time. Through CADS, you can easily lease the bike of your choice.

Fresh snacks and meals right at the office every day? The “Schrankerl” fridge makes it easy – and we cover 20 % of the cost for you

Diversity of innovation

Diverse and forward‑looking projects that use innovative technologies to shape medical technology in the long term and make your everyday work exciting.

Free parking in Perg and Ansfelden, an