GenAI Developer

Position Description :

Are you a Data Scientist with extensive hands-on experience on Generative AI projects?

• Experience in Generative AI projects is required
• This role is open to locations within proximity to a CGI office

The ET (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 the latest technologies.

Your future duties and responsibilities :

As a Data Scientist (Generative AI) 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, T-RAG et al
• 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 intense delivery expectations churning out POVs for clients in a short period of time. And once value is established, to implement and scale ensuring right user experience and adoption.

Required qualifications to be successful in this role :

Essential Qualifications

• Hands-on work experience with implementing Generative AI, LLMs, or GenAI solutions
• Prompt Engineering experience on tools such as Promptflow would be ideal
• Experience building LLM-based solution on Azure, AWS or GCP
• Experience with multiple models such as GPT 4.0, 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

Skills :

• Data Engineering
• Data Migration
• Data Modeling
• Data Validation
• Data Warehousing