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    Generative AI Developer - Ontario, Canada - CGI

    CGI
    CGI background
    Technology / Internet
    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



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