Senior Data Scientist: Generative AI & ML (Hybrid, Toronto)

Bevertec

Toronto

Hybrid

CAD 110,000 - 117,000

Part time

27 hours ago
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Job summary

Bevertec is seeking a Senior Data Scientist to lead GenAI and machine learning initiatives in a hybrid Toronto-based role on a 12-month contract. The ideal candidate brings 5+ years of data science experience, strong Python, and hands-on GenAI development using LLM APIs.

You will work on data transformation, model training, and integrating AI bots with tool-use capabilities, while collaborating with cross-functional teams to deliver scalable solutions.

Qualifications

  • Bachelor's degree or equivalent experience in a related field.
  • 5+ years of experience developing and implementing data science solutions.
  • Strong Python programming for ML and GenAI.
  • Knowledge of supervised and unsupervised ML, model training/evaluation.
  • Experience with SQL and PySpark.
  • Data transformation and handling structured/unstructured data.
  • Understanding of APIs, microservices and cloud-native apps.
  • Hands-on GenAI development with LLMs and frameworks.
  • Experience building AI bots with reasoning and tool-use.

Responsibilities

  • Develop and deploy data science solutions for GenAI/ML applications.
  • Collaborate across teams to integrate models into products.
  • Experiment and optimize models for performance and reliability.

Skills

Python
Machine Learning
GenAI
SQL
PySpark
APIs
Cloud-native
LLM APIs
Vector databases
Embedding models

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field

Tools

AWS SageMaker
Glue
Big data technologies

Job description

Bevertec is seeking a Senior Data Scientist to lead GenAI and machine learning initiatives in a hybrid Toronto-based role on a 12-month contract. The ideal candidate brings 5+ years of data science experience, strong Python, and hands-on GenAI development using LLM APIs.

You will work on data transformation, model training, and integrating AI bots with tool-use capabilities, while collaborating with cross-functional teams to deliver scalable solutions.

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