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Generative AI Architect
1 month ago
Develop and maintain GenAI software solutions that support the innovation lab's projects.
Build systems using cloud technologies to train AI models on large data sets and enabling these models to generate new, original content.
Developing UI, microservices and infrastructure as code specifically for solutions utilizing GenAI.
Develop, code, test, and build CI/CD and AI/ML Ops related infrastructure to support GenAI specific initiatives.
Contribute to end-to-end management of AI solutions.
Qualifications
4 years of experience in software development.
3 years’ Experience working as a cloud developer (Preferably on Azure)
The Innovation Lab group requires engineers who will be dedicated to building out the initial innovation environment and platform.
Full grasps in building microservices in the cloud: C#, Node.js, Azure etc.
Experience in building cloud-native microservices using containers with Docker, Kubernetes, or serverless technologies.
Proficiency in Relational databases such as MySQL, PostgreSQL, and NoSQL databases such as Cassandra, MongoDB, CosmosDB.
Knowledge in AI-centric programming knowledge such as Python, and libraries such as TensorFlow, PyTorch, and Keras.
Possess data management knowledge, including data pre-processing, augmentation and generation of synthetic data.
Understanding of ethical AI practices: designing generative AI systems which are fair, transparent and respectful of privacy.
Proven experience in delivering generative AI solutions.
Strong presentation, interpersonal, verbal, and written communication skills with the ability to communicate effectively with both technical and business audiences.
Excellent organizational and time management skills with the ability to multitask and prioritize work effectively.
Passion for innovation
Bonus skills: past innovation lab experiences in highly regulated industries