AI Engineer at Texada, shaping AI strategy and collaborating with teams for innovative AI solutions. Responsible for defining AI architecture and ensuring scalability of solutions.
Responsibilities
Define and drive the AI strategy and architecture for Texada SaaS products.
Collaborate with stakeholders to identify AI opportunities and use cases across various domains.
Lead the design and development of AI models, algorithms, and applications.
Evaluate and select appropriate AI technologies and frameworks.
Ensure the scalability, security, and performance of AI solutions.
Stay updated on the latest AI trends and research to drive innovation.
Requirements
Bachelor's or higher degree in Computer Science, Artificial Intelligence, or related field.
Experience as a Software Engineer, DBA or Systems Architect.
Excellent problem-solving skills and analytical thinking.
Strong communication and leadership abilities.
A passion for staying at the forefront of AI advancements.
Knowledge of machine learning, deep learning, and natural language processing.
Familiarity with AI frameworks and libraries (e.g., OpenAPI, GPT, LangChain).
Familiarity with Vector databases and platforms (e.g., Pinecone).
Familiarity with AWS cloud services.
Proven experience designing, developing, and deploying AI solutions, including machine learning model training, AI systems integration, and technical leadership.
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