Manulife

Senior Data Scientist

Manulife

full-time

Posted on:

Location Type: Hybrid

Location: TorontoCanada

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Salary

💰 CA$129,400 - CA$179,400 per year

Job Level

About the role

  • Develop and implement machine learning models focusing on Generative AI techniques and LLM to solve sophisticated business problems
  • Streamline Generative AI model development and deployment using Azure infrastructure and capabilities
  • Apply prompt engineering techniques, work with RAG applications, and fine-tune language models
  • 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
  • Deploy machine learning models and applications on cloud platforms
  • 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.

Requirements

  • Over 4 years of experience with large-scale systems in data science/software engineering
  • Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, Semantic Kernel, and agent frameworks like Autogen, Vectordb
  • Experience in fine-tuning open-source models like Llama, Phi2 is a bonus
  • Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field
  • Proven experience as a Data Scientist with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications
  • Strong partner management and ability to translate sophisticated technical topics into business language
  • Strong software development skills with proficiency in Python and advanced working SQL knowledge
  • Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan)
  • Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
Benefits
  • health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
  • adoption/surrogacy and wellness benefits
  • employee/family assistance plans
  • retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
  • financial education and counseling resources
  • generous paid time off program in Canada includes holidays, vacation, personal, and sick days
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningGenerative AILLMprompt engineeringMLOpsLLMOpsdata analysisstatistical modelingPythonSQL
Soft Skills
partner managementcommunicationcollaborationmentoringproblem solving
Certifications
Bachelor's degreeMaster's degreePh.D.