Applied Scientist (Computer Vision)

Location: Remote in Czechia; Brno

Company

hirify.global develops motion detection features for Cloud and Edge environments, supporting high-performance deployment across diverse systems.

What you will do

• Develop machine learning algorithms and advanced computer vision methods for motion detection.
• Choose between Edge-focused sensor-based, real-time solutions and Cloud-focused scalable solutions.
• Set hypotheses, gather experimental data, train and validate ML models, and analyze large datasets.
• Tune hyperparameters, optimize algorithms, visualize results, and improve model performance and accuracy.
• Evaluate emerging machine learning technologies, implement suitable ideas in production, and collaborate with other departments.
• Report project progress, write research papers, consult colleagues, and mentor junior team members.

Requirements

• 4+ years of machine learning experience in the computer vision domain.
• Practical experience with at least one of classification, detection, or segmentation.
• Python 3, NumPy, scikit-learn, pandas, and SciPy.
• PyTorch and a good understanding of machine learning and deep learning concepts.
• Experience deploying machine learning models to production.
• Good written and spoken English.

Nice to have

• GANs, VAEs, probabilistic programming, and Bayesian frameworks.
• Model optimization using pruning, quantization, or knowledge distillation.
• Web and client-server architecture, async Python libraries such as asyncio and aiohttp.
• Big Data concepts, including MapReduce and in-memory processing.
• Algorithms, data structures, SQL, NoSQL, Docker, Kubernetes, and Kubeflow.
• C++ and Bash.

Culture & Benefits

• Equal-opportunity environment with transparent, value-based culture and an individual approach.
• Competitive salary with performance-based annual reviews, plus performance and loyalty bonuses.
• Employment under a Contract of Employment (HPP) in compliance with Czech Labour Law.
• Paid vacation, public holidays, medical leave, state health insurance, and social security contributions under statutory regulations.
• Internal knowledge hubs, corporate courses, free English classes, and opportunities for continuous development.
• High-end hardware and necessary devices provided.