Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
- Toronto, ON, Canada
$65 to $70 CAD / hour · Contract
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Job details
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- $65 to $70 CAD / hour
- Job type
- Contract
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- English
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Original job description
Job Role: Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Location : Toronto, ON/Hybrid
Position Type : Contract Role
Start Date
2026-11-23
End Date
2027-05-23
3 days onsite
Ideal Candidate Salary: CAD 65-70/Hr (Depending on the experience)
Must Have:
- Deep expertise in statistics, probability, predictive modelling and machine learning, including classification, regression, clustering, feature engineering, experimentation, model selection, validation, bias/variance, overfitting and statistical inference.
- Advanced hands-on expertise in Python, software engineering, LLMs, RAG, agentic AI, APIs, prompt engineering, model evaluation, and production AI development.
- Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power BI, VSCode, Git, Jira, Azure (OpenAI, Foundry and ML Studio), Databricks.
- Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, including end-to-end ML pipelines covering experimentation, training, evaluation and operationalization.
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.
More about this job
Responsibilities
Build, tune, and validate predictive and machine learning models using real-world datasets. Develop and operationalize production AI solutions, including LLM and RAG applications, using end-to-end Azure machine learning pipelines.
Requirements
Requires advanced hands-on proficiency in Python, SQL, machine learning frameworks, software engineering, LLMs, RAG, agentic AI, APIs, and prompt engineering. Candidates should have deep expertise in statistical methods and model development, plus experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry.
Skills
- Statistics
- Probability
- Predictive Modeling
- Machine Learning
- Python
- SQL
- Large Language Models
- Retrieval-Augmented Generation
- Agentic AI
- Prompt Engineering
- Model Evaluation
- Azure Machine Learning
- Microsoft Foundry
- Databricks
- Power BI
- Statistical Inference
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
Keywords
- Statistics
- Probability
- Predictive Modeling
- Machine Learning
- Classification
- Regression
- Clustering
- Feature Engineering
- Experimentation
- Model Selection
- Model Validation
- Bias-Variance
- Overfitting
- Statistical Inference
- Python
- SQL
- Large Language Models
- Retrieval-Augmented Generation
- Agentic AI
- APIs
- Prompt Engineering
- Model Evaluation
- Power BI
- VS Code
- Git
- Jira
- Azure OpenAI
- Microsoft Foundry
- Azure Machine Learning
- Databricks