Are you a Generative AI Specialist with extensive hands-on experience on Generative AI projects?
Location: Montreal
Bilingual: French/English
* Extensive hands-on development experience in Generative AI projects is a MUST HAVE - Must have experience implementing GenAi Projects. Please note this is not an entry-level position. *
The Emerging Technologies team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data, Cloud and AI advisor and go-to implementation partner for our global clients’ Data and Advanced Analytics needs. We’re an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class AI partner and develop new and exciting opportunities in latest technologies.

Additional desired qualifications

• Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Studio is welcome but not require

YOUR FUTURE DUTIES AND RESPONSIBILITIES

As a Generative AI Specialist on this team your responsibilities will include:

• Building Large Language Models-based and NLP-based solutions for CGI clients by researching the best in class techniques and being a self-starter
• Data Engineer and Prompt Engineer the LLM solutions end-to-end to enhance end user experience
• Being “hands-on” to build, tune, deploy and monitor (MLOps) robust Machine Learning solutions built on RAG and latest techniques
• Fine-tune LLMs with latest cost optimized PEFT techniques like LoRA, QLoRA
• Mitigate risks and optimize costs associated with choosing a GenAI architecture solution adn advise clients on best practices in GenAI
• Strategically and intensely collaborating with innovation team and the client stakeholders and account teams to explore key GenAI solutions
• Collaborate with other Data Scientists and Data Engineers in a client engagement setting
• Implementing proof of concepts to show value and then package and scale to full ML solutions at scale on both on-prem and cloud environments

This role comes with sometimes intense delivery expectations churning out POVs for clients in a short period of time and then going on to implement a full-scale production solution ensuring right user experience and adoption.

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

• Hands-on work experience with implementing Generative AI, LLMs, or GenAI solutions on at least 2-5 different projects or at least 1 project that was deployed in production
• Prompt Engineering experience on tools such as Azure Promptflow, Amazon Bedrock, Azure AI Studio would be ideal
• Experience building LLM-based solution on Azure, AWS or GCP
• Experience fine-tuning LLMs with latest techniques
• Experience with multiple models including open source models deployment (LLaMa, Mistral et al)
• Experience with multiple Vector Databases
• 5 or more years “hands-on” working experience delivering diverse Advanced Analytics solutions
• Hands-on expertise in building and deploying code in Python, SQL and major programming languages with at least one major Cloud platform Azure, AWS, GCP

Additional desired qualifications

• Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Studio is welcome but not required