Alberta – Calgary, British Columbia – Vancouver, Ontario – Ottawa, Ontario – Toronto, Quebec – Montreal
Type
Full Time
Responsibilities:
Architect and design end-to-end Generative AI products, applications, and solutions for specific business needs and provide implementation guidance during delivery.
Leverage, customize, and implement Gen AI models, algorithms, and methodologies to improve the overall quality of Gen AI products, applications, and systems.
Analyze and evaluate the performance of Gen AI systems and provide design recommendations.
Estimate the effort and time required for deploying an end-to-end solution using LLMs.
Estimate the cost of using LLMs in different forms for business use cases and the viability, and develop cost models for different usage patterns.
Analyze and make the right technological choices for generative AI solutions.
Design and prototype reusable components for LLM-based solution patterns.
Architect components of an LLM solution to address Responsible AI & Security.
Design LLM Ops solutions for large-scale operationalization.
Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders.
Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.
Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model’s performance and efficiency.
Exploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatility.
Travel may be required for this role
Requirements & Skills:
Minimum 6 years of experience in designing & deploying AI / Machine Learning solutions using at least one cloud vendor.
Minimum 1 year of experience in the LLM and Generative AI space.
Minimum 1 year of experience architecting and operationalizing LLM-driven application architecture patterns.
Minimum of 6 years in engineering, machine learning, deep learning, and NLP solutions and applications.
