drjobs GenAI Engineer - Canada

GenAI Engineer - Canada

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role: GenAI Engineer

Location: Toronto ON Canada (Hybrid - 3 days a week onsite is must)

Contract

Description:

  • Seeking for a motivated GenAI Engineer to work with our Global Advanced Customer Analytics team and develop & support solutions primarily focused on contact center BOTs.

Responsibilities:

  • GenAI use cases requirements understanding working with product owners business and design LLM solutions aligned with clients approved RAG patterns.
  • Drive data requirements conversations and work with data office to get required data for the use case.
  • Design efficient chunking & indexing strategies to support answer generation as per expectations.
  • Develop and deploy inference APIs using frameworks like langchain and deploy to AKS or function apps.
  • Capable to pick up UI work as needed to support front end integration collaborating with UI team.
  • Support GenAI knowledge BOTs in production by monitoring user feedback and improve BOT response quality through enhancements as per feedback.
  • Embrace best practices processes related to MLOps Coding best practices.
  • Collaborate with existing members in the team contribute to reusable GenAI code base.

Required:

  • Minimum of 5 years of experience solving high-impact business problems using Machine learning & latest advancements in LLMs.
  • Proven experience as a ML Engineer with a strong focus on generative AI prompt engineering and RAG applications.
  • Hands-on experience using Azure AI search Langchain other Vector stores.
  • Experience in Azure OpenAI. Open-source LLMs is a plus.
  • Strong software development skills with proficiency in Python Pyspark preferably using Databricks Azure ML.
  • Basic knowledge of React or equivalent UI frameworks is a plus.
  • Strong experience in supporting production applications post development and continuously improve response quality to increase benefits.
  • Experience in productionizing code through the DevOps pipeline (git Jenkins pipeline code scan).

Employment Type

Full-time

Company Industry

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