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.