Machine Learning Developer

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October 28

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Yapp

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HR Tech • SaaS • B2B

Yapp is a recruitment management platform that centralizes candidate and vacancy information to streamline hiring, reduce time-to-hire, and improve recruiter productivity. It offers applicant tracking, automated candidate communications (WhatsApp, email, SMS), AI-driven candidate matching and insights, dashboards and reports for real-time metrics, and features focused on candidate experience and employer branding. The product is presented alongside consulting and auditing services to optimize recruitment processes.

11 - 50 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

📋 Description

• Develop and implement machine learning models focused on electronic security, such as anomaly detection, event detection, and suspicious behavior recognition. • Collaborate on the design and development of machine learning pipelines on cloud computing platforms (AWS, Azure, Google Cloud), optimizing costs and enabling model scalability. • Be responsible for selecting and maintaining the algorithms that will serve as the foundation for building AI solutions. • Propose improvements to algorithms and the environment aimed at cost reduction and/or technical enhancements. • Present new AI-based solutions (state of the art), taking into account the target market of electronic security and monitoring. • Create and maintain machine learning APIs and services integrated with monitoring and security systems. • Train models and tune parameters to ensure the accuracy and efficiency of solutions in production. • Integrate supervised and unsupervised learning techniques to, for example, optimize automatic event detection in surveillance systems. • Collaborate with multidisciplinary teams to implement robust, scalable cloud solutions. • Propose and apply MLOps best practices for the deployment and monitoring of AI models. • Provide technical contributions to the development team for Machine Learning products.

🎯 Requirements

• Degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields. • Practical experience in developing and implementing machine learning models and AI-based solutions (minimum 2 years). • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Understanding of supervised and unsupervised learning algorithms. • Ability to work in a team and collaborate with different areas of the project. • Good communication skills to discuss progress and the results of implemented models. • Experience with cloud computing platforms (AWS, Azure, Google Cloud) and integration with machine learning services. • It will be an advantage if you have: • Deep knowledge in computer vision, such as convolutional neural networks (CNNs) and object detection techniques for images and video. • Postgraduate degree related to data science and Machine Learning. • Experience with surveillance systems and electronic security solutions. • Knowledge of cameras and video streaming protocols (RTSP, RTMP, HLS, and proprietary protocols). • Certifications and training in cloud computing or machine learning. • Experience optimizing models for deployment in cloud or edge computing environments.

🏖️ Benefits

• Remote work