Generative AI Developer

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 latest technologies.

Your 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.

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 Desired qualifications - Experience with MSFT 365 Copilot is ideal - Experience with AWS SageMaker, Azure Cognitive Services or GCP Vertex AI