Senior Computer Vision Engineer - Classical & Deep Learning (f/m/x)

Expected, CNN (Convolutional Neural Network), Python, OpenCV, PyTorch, Cloud Computing, NumPy

Optional, C++

About the project, We’re looking for vision engineers who know that not every problem needs a neural network — and that some problems can’t be solved without one. You’ll work across the full spectrum of computer vision: classical geometric methods like camera calibration, stereo, and multi-view geometry, alongside modern deep learning for detection, segmentation, and tracking. Knowing which tool fits which problem is exactly the judgment we’re hiring for., , Our vision projects are not academic exercises. They run on factory floors, in vehicles, and on edge devices with real latency and accuracy constraints — from quality inspection in manufacturing through autonomous driving perception to enterprise-scale image and video analytics.

Your responsibilities, Design and implement vision systems combining classical and learning-based approaches — choosing the right method for the constraints of each problem, Apply geometric computer vision in practice: camera calibration (intrinsic/extrinsic), stereo and multi-view geometry, feature detection and matching, pose estimation, structure-from-motion, and visual SLAM, Build, train, and fine-tune deep learning models for object detection, semantic and instance segmentation, multi-object tracking, OCR, and anomaly detection using PyTorch, Develop image processing pipelines with OpenCV and NumPy: filtering, morphology, thresholding, contour analysis, and color space operations, Optimize models and pipelines for deployment: quantization, pruning, ONNX/TensorRT conversion, and real-time inference on edge devices and GPUs, Own data quality end-to-end: dataset design, annotation strategy, augmentation, and systematic error analysis on real-world imagery, Build evaluation frameworks that measure what matters in production — not just mAP on a benchmark, but failure modes under real conditions, Collaborate with AI Architects and ML engineers to integrate vision components into larger systems, on-prem and in the cloud

At least 5 years in computer vision engineering, with vision systems shipped to production — not just research prototypes, Solid grounding in geometric vision: projective geometry, camera models, epipolar geometry, and 3D reconstruction fundamentals, Hands-on deep learning experience: training and deploying CNN- and transformer-based models (e.g., YOLO family, Mask R-CNN, DETR, SAM) for real applications, Strong Python and OpenCV skills; comfort with PyTorch and the surrounding ecosystem (torchvision, Albumentations, ONNX), Experience optimizing inference for constrained environments — latency budgets, embedded hardware, or high-throughput video, The judgment to pick a homography over a transformer when the problem calls for it — and to defend that choice, Ability to work autonomously while collaborating effectively with architects, engineers, and product teams, Fluent English (both written and spoken), Fluent Polish required, Residing in Poland required

Optional, C++ skills for performance-critical pipelines and integration with existing vision systems, Previous work with visual SLAM, sensor fusion (LiDAR, radar, IMU), or autonomous driving perception stacks, Exposure to vision-language models (CLIP, Grounding DINO) and foundation-model-based labeling or zero-shot pipelines, Experience deploying on NVIDIA Jetson, industrial cameras (GenICam/GigE), or cloud vision services on Azure, AWS, or GCP

What we offer, Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas, Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market, We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022, Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more, Comfortable workplace – class A offices or remote work, Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application, PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers, Investment in your growth – meetups, webinars, training platform and technology blog – you choose, Fantastic atmosphere created by all Sii Power People

Recruitment stages, Send your CV, Talk to us about your expectations, Learn more about our projects and choose the best, Start your adventure with Sii!

Sii Sp. z o.o., Sii is the leading technology consulting, digital transformation, engineering, and business services vendor in Poland. We already employ more than 7 300 professionals and implement projects in a variety of industries for clients from many countries around the world. The Great Place to Work title, won 10 times in a row, proves that at Sii, we create a friendly work environment., , Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.

This is how we work,