Full-Time (M/F/D)
Computer Vision Engineer
Location
India
Compensation
Junior to Mid Level brutto/monatlich
On site Setup
40 h weekly
Your Skills
- 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, optimization 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 quantization 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. Your Salary
Competitive Salary
Benefits
Instead of corporate policy, you will find collaboration with committed people on an equal footing. Mutual respect and appreciation are very important to us. Our family-like working environment provides the framework for close teamwork and allows sufficient freedom for the individual development of all employees. In the right environment, work is fun—our benefits play a secondary role.
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.
Fun corner
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.
Schrankerl
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.
Convenient access
Free parking in Perg and Ansfelden, and close proximity to the train station.
Secure coverage – mutual benefits
Group health insurance with premium advantages
About CADS
CADS GmbH, based in Perg, in collaboration with the KLS Martin Group, is the world’s leading medical device manufacturer for surgical innovation with its visionary software solutions for professional use.
Digital Health is our Passion. This passion has been the basis of our success for 15 years and makes us a very special employer. We create groundbreaking software solutions that benefit patients and physicians worldwide.
We are constantly working on new developments and industry solutions and see the ideas, skills and potential of our employees as a central component.
You would like to join us on this path and contribute to helping people with your work? Then we would be happy to get to know you and welcome you to our team.
Interested? Write us now!