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Intermediate Data Scientist to develop and implement AI solutions on Google Cloud Platform, including predictive models, machine learning models, and Gener

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Starting date : 1 position to fill as soon as possible

Duration: 6 months

Location: Remote (EST hours), must be comfortable travelling for monthly/quarterly anchor days

Hours: 7.5 hours per day


Responsibilities:

  • Lead efforts to enhance and refine existing out-of-the-box ML and AI models, particularly for customer identity verification and call conversation summarization.
  • Apply advanced machine learning techniques using Google GCP, Vertex AI, BigQuery, and OpenAI models to improve the accuracy, efficiency, and effectiveness of the system.
  • Leverage Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to design, implement, and optimize scalable AI and ML solutions.


Must Haves:

  • Google GCP, Vertex AI, and BigQuery
  • Google Gemini experience
  • Python
  • Strong understanding of Machine Learning and AI models, particularly in the context of authentication and natural language processing (NLP) for call summarization.


Nice to Haves:

  • Experience in P&C insurance
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Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

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Spoken languages

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