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Senior GenAI Data Scientist – ML, LLMs & Azure

Manulife

Toronto

Hybrid

CAD 129,000 - 180,000

Full time

Yesterday
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Job summary

A leading financial services provider in Toronto seeks a Senior Data Scientist to drive data-driven decision-making. Ideal candidates have 5+ years of experience with machine learning and generative AI. Responsibilities include developing analytical solutions, collaborating with teams, and applying advanced ML techniques. The position offers a hybrid work model and competitive salary range from $129,400 to $179,400 CAD. Join us to enhance business processes and make impactful decisions.

Benefits

Health, dental, and mental health benefits
Retirement savings plans with employer matching
Paid time off including holidays and personal days
Employee/family assistance programs

Qualifications

  • 5+ years of experience in developing probabilistic models and machine learning algorithms.
  • Proficiency in programming languages such as Python.
  • Strong problem-solving skills and ability to develop innovative solutions.

Responsibilities

  • Develop and implement analytical solutions using ML and AI techniques.
  • Apply generative AI techniques including prompt engineering.
  • Work collaboratively with multi-functional teams.

Skills

Machine learning
Generative AI
Prompt engineering
Problem-solving
Collaboration
Programming in Python

Education

Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field

Tools

PyTorch
scikit-learn
Hugging Face
SQL
Neo4j/Cypher
Cosmos DB/Gremlin
Job description
A leading financial services provider in Toronto seeks a Senior Data Scientist to drive data-driven decision-making. Ideal candidates have 5+ years of experience with machine learning and generative AI. Responsibilities include developing analytical solutions, collaborating with teams, and applying advanced ML techniques. The position offers a hybrid work model and competitive salary range from $129,400 to $179,400 CAD. Join us to enhance business processes and make impactful decisions.
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