AI Architect

AI/ML Engineer Job Description Norderia are seeking a dedicated and knowledgeable AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in AI/ML and software development, with the ability to design, implement, and maintain robust AI/ML solutions. Overview The AI/ML Engineer will play a crucial role in implementing and maintaining AI/ML solutions in production environments. This role involves not only technical expertise but also a collaborative spirit to work with our team of data scientists in integrating models into applications. Our AI/ML Engineer will be at the frontline in ensuring the reliability and security of our AI/ML systems while keeping abreast with the latest AI/ML frameworks and technologies. Responsibilities Lead the implementation and maintenance of AI/ML solutions in production environments, ensuring they meet our business needs and are sustainable in the long term. Develop high-quality software for algorithm deployment, taking into account scalability and performance optimization to ensure seamless integration and efficient operation of our AI/ML systems. Foster collaboration with data scientists, working closely to integrate models into applications and enriching the functionality of our products and services. Actively work on ensuring the reliability and security of AI/ML systems, identifying potential vulnerabilities and implementing necessary security measures. Stay current with AI/ML frameworks and technologies, incorporating relevant advancements into our systems and contributing to the continuous improvement of our AI/ML capabilities. Qualifications Proficient in programming languages like Python, with a solid understanding of its associated libraries and frameworks. Expert on Azure and deploying secure applications Strong knowledge within Data storage Strong understanding of Event Driven Architecure Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch), with the ability to apply these tools in solving complex problems. Demonstrated software development expertise, with the capacity to create efficient and effective solutions.