GENAI SPECIALIST

Position Description.
Are you a Generative AI Specialist or Data Scientist with extensive hands-on experience on Generative AI projects? ** Extensive hands-on development experience in Generative AI projects is a MUST HAVE - Must have experience implementing GenAi Projects.
Please note this is not an entry-level position.
** ** This role is open to locations within proximity to a CGI office to accommodate a hybrid work model** 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 Generative AI Specialist 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 and latest techniques - Fine-tune LLMs with latest cost optimized PEFT techniques like LoRA, QLoRA - Mitigate risks and optimize costs associated with choosing a GenAI architecture solution adn advise clients on best practices in GenAI - 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 sometimes intense delivery expectations churning out POVs for clients in a short period of time and then going on to implement a full-scale production solution 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 on at least 2-5 different projects or at least 1 project that was deployed in production - Prompt Engineering experience on tools such as Azure Promptflow, Amazon Bedrock, Azure AI Studio would be ideal - Experience building LLM-based solution on Azure, AWS or GCP -Experience fine-tuning LLMs with latest techniques - Experience with multiple models including open source models deployment (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 Additional desired qualifications - Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Studio is welcome but not required Skills.
Artificial Intelligence What you can expect from us.
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