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Senior Data Scientist – Generative AI & Machine Learning

  • Old Toronto
  • |5 years of exp
  • |Contract
Posted: 7 days ago• Recruiter recently active
Job Location
Old Toronto
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
SQL
Microservices
Data manipulation
Data Transformation
Model Evaluation
Supervised Machine Learning
Pyspark
Unsupervised Machine Learning
APIs
Conversational AI
Chatbot Development
Model Optimization
Model Training
Prompt Engineering
Vector Databases
RAG
AI Agents
Fine-Tuning
LLM Frameworks
Cloud-Native Application Development
Embedding Models
LLM APIs
AI Bots

About the job

Job Title: Senior Data Scientist – Generative AI & Machine Learning

Employment Type: Contract

Duration: 12 Months

Location: Toronto

Ideal Rate: $80- $85 (Based on Experience)

Work Arrangement: Hybrid – 3 days onsite per week, including Thursday

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field, or equivalent experience.
  • 5+ years of experience developing and implementing data science solutions.
  • Strong hands-on Python programming skills for machine learning and GenAI applications.
  • Strong knowledge of supervised and unsupervised machine learning, model training, evaluation, and optimization.
  • Experience writing complex SQL and PySpark queries.
  • Experience with data transformation, manipulation, and structured and unstructured datasets.
  • Understanding of APIs, microservices, and cloud-native application development.
  • Hands-on experience developing GenAI applications using LLM APIs and frameworks.
  • Experience building AI bots or agents with reasoning, tool-use, and integration capabilities.
  • Practical experience with RAG, prompt engineering, vector databases, and embedding models.
  • Knowledge of fine-tuning methodologies and conversational AI or chatbot development.

Nice to Have

  • Experience with AWS AI/ML services, including SageMaker, Lambda, and Bedrock.
  • Familiarity with AWS Glue, Glue Catalog, Glue Data Quality, and Step Functions.
  • Experience with data warehousing, ETL pipelines, and big data technologies.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.