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    Data Scientist Generative AI - Montreal, Canada - CGI

    CGI
    CGI Montreal, Canada

    4 hours ago

    CGI background
    Full time
    Description

    Position Description:

    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. This role can be situated within proximity to a CGI office

    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:

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

    Skills:

  • Artificial Intelligence
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