Senior Data Scientist

at  Manulife

Toronto, ON M4W 1E5, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Apr, 2025Not Specified26 Jan, 20254 year(s) or aboveGood communication skillsNoNo
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Description:

THE OPPORTUNITY

Our Canadian Advanced Analytics (AA) team is seeking a highly skilled and motivated Senior Data Scientist with a strong emphasis on Generative AI and Large Language Models (LLM). This role requires a unique blend of technical expertise and business insight to transition from promising hypotheses and ML experiments to fully-fledged AI/ML products with real-world impact. As a specialist in Generative AI techniques, you will work with innovative closed and open-source Gen AI models, apply standard methodologies in prompt engineering, RAG applications, and fine-tune LLM models to drive business outcomes.

Responsibilities:

  • Develop and implement machine learning models, focusing on Generative AI techniques and LLM, to solve sophisticated business problems, using a variety of algorithms and techniques.
  • Streamline Generative AI model development and deployment using Azure infrastructure and capabilities like cognitive search and Vectordb, and frameworks such as Langchain, Semantic Kernel, and Autogen.
  • Explore integrating Salesforce data & analytics tools with existing and developing internal ML models
  • Apply prompt engineering techniques, work with RAG applications, and fine-tune language models to improve their performance in specific tasks.
  • Collaborate with multi-functional teams to plan, scope, implement, and sustain predictive analytics solutions.
  • Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
  • Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness.
  • Develop measurements and feedback systems, and mentor associates and peers on MLOps & LLMOps standard methodologies.
  • Stay up-to-date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer science data science statistics or a related field

Proficient

1

Toronto, ON M4W 1E5, Canada