AI Architect
Job Description
The AI Architect will collaborate with data scientists and other AI professionals to identify and pilot use cases for digital transformation efforts. They will design, develop, and deploy AI and machine learning algorithms and models to meet business requirements. The role involves evaluating and enhancing existing AI solutions for optimal performance and accuracy. The architect will also develop and maintain documentation for AI-based solutions, implement best practices for data management and model training, and conduct experiments to evaluate performance.
Requirement(s)
Requirements: The ideal candidate should have a deep understanding of AI and machine learning algorithms, with proficiency in programming languages like Python, Java, or C++. They should possess strong knowledge of deep learning frameworks such as TensorFlow or PyTorch, as well as Big Data solutions like Apache Shark, Apache Hadoop, SQL, and NoSQL databases. Familiarity with workflow and pipeline architectures of deep learning and machine learning workloads, cloud computing platforms (e.g., AWS, Azure, Google Cloud), and data analysis tools (e.g., SQL, Tableau, PowerBI) is required. The candidate should have 4 years of experience as an AI architect, preferably with 1 year of SQL experience. Soft skills include effective communication, presentation skills, and the ability to explain complex technical concepts to non-technical stakeholders.
