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Machine Learning Engineer, Computer Vision (Remote - Poland)
Kolomolo is hiring a Machine Learning Engineer to develop and deploy computer vision models across cloud and edge environments. The role focuses on deep learning, visual understanding, and production-ready AI systems.
विवरण
- Create, develop, and deploy scalable deep-learning systems for computer vision
- Build models for classification, detection, segmentation, and visual quality evaluation
- Work with data scientists and engineers to improve data pipelines and training datasets
- Tune models for reliable performance on cloud and edge platforms
- Monitor computer vision research and incorporate relevant advances into development work
- Lead the delivery and deployment of vision models for object detection, tracking, segmentation, and image and video understanding
आवश्यकताएँ
- At least five years of machine learning experience, including three or more years specializing in computer vision
- Demonstrated experience delivering vision-based machine learning products or research
- Practical expertise with deep-learning frameworks including PyTorch or TensorFlow
- Advanced Python programming ability
- Working knowledge of OpenCV and image-processing libraries
- Strong understanding of convolutional neural networks, transformers, and related architectures
- Experience optimizing and deploying models to cloud or edge devices
- Experience with video analytics, multimodal models, or synthetic data generation is advantageous
- Computer vision publications or open-source contributions are advantageous
- Familiarity with MLOps tools such as MLflow, DVC, and Docker is advantageous
लाभ
- Competitive compensation and benefits package
- Opportunities to develop your career within a growing technology company
- Ongoing learning through mentorship, internal training, and certifications
- Flexible agile working options, including remote, hybrid, or on-site work in Krakow
- Office amenities including coffee, tea, fresh fruit, snacks, and a welcoming atmosphere
- Flat management structure that encourages employees to contribute their perspectives
- Regular team activities and a collaborative, supportive social culture
- Support for work-life balance through remote work and asynchronous collaboration
- Inclusive workplace committed to diversity, equity, and inclusion
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