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Generative AI Developer - Ontario, Canada - CGI
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 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 withmultiple 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