Kolomolo
Kolomolo
Kolomolo — Стокгольм мен Краковта командалары бар IT-консалтингтік компания. Компания Солтүстік Еуропа аймағы мен Америка Құрама Штаттарындағы ірі ұйымдарға цифрлық операцияларын жаңғыртуға көмектеседі. Оның қызметтері AWS бұлтты шешімдерін, жасанды интеллектіні және заттар интернеті қолданбаларын қамтиды. 50-ден астам маманнан тұратын командасы күрделі бизнес қажеттіліктеріне бейімделген технологиялық қызметтер ұсынады. Компанияның кадр жинау бағыты практикалық әрі сапалы қызмет көрсетуге назар аудара отырып, бұлтты есептеу және басқа да жаңа технологиялар салаларындағы сараптамасын кеңейтуге негізделген.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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