Generative AI Developer

Found in: Appcast CA C2 Glassdoor - 2 weeks ago

Ontario, Canada CGI Full time

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 across Canada 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

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