Computer Vision & Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Computer Vision & Machine Learning Engineer (AI): Developing and optimizing AI-driven video analytics for retail operational efficiency and safety monitoring with an accent on object detection and real-time detection systems. Focus on fine-tuning ML models, managing large-scale visual datasets, and deploying scalable solutions in Azure environments.
Location: Remote within Latin America (BR mentioned)
Company
is a global Business Intelligence and Data Analytics consulting firm specializing in tailored solutions for data warehousing and project management.
What you will do
- Develop, optimize, and fine-tune computer vision and object detection models using YOLO, TensorFlow, or PyTorch.
- Deploy ML models into production or near-production environments.
- Process large-scale visual datasets and manage annotation workflows.
- Build real-time detection and alerting capabilities using camera-based systems for retail safety.
- Collaborate with cross-functional Infrastructure and AI Engineering teams to translate business requirements into technical solutions.
- Rapidly prototype and deliver MVPs and pilot programs.
Requirements
- English: Advanced (C1) communication skills required for daily technical discussions.
- Strong hands-on experience with Computer Vision and Object Detection frameworks (YOLO, TensorFlow, PyTorch).
- Experience training, validating, and deploying ML models.
- Proven track record of working with image and video data pipelines.
- Experience with cloud-based ML infrastructure, preferably within Azure.
- Location: Must be based in Latin America (LatAm).
Nice to have
- Experience with real-time video analytics solutions.
- Familiarity with retail, operational monitoring, or loss prevention environments.
- Experience contributing to MVPs and executive demonstration initiatives.
Culture & Benefits
- Fully remote work environment with a global, collaborative, and inclusive team.
- Innovation-driven culture focused on high-visibility AI projects.
- Project-based engagement (5-month contract) with possibility of extension.
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