Senior Data Scientist
at Manulife
Toronto, ON M4W 1E5, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 25 Apr, 2025 | Not Specified | 26 Jan, 2025 | 4 year(s) or above | Good communication skills | No | No |
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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