Support Ontario’s Data & AI transformation through Python, Databricks, and inference experiments. This data scientist assignment requires five days onsite.
The Government of Ontario is developing the Ontario Data Platform as an enterprise ecosystem for Data & AI. As a data scientist, you will support platform initiatives and use cases serving government businesses. The work includes LLM frameworks, evaluation, data preparation, and reproducible experimentation.
Key Responsibilities: Execute batch inference jobs on Databricks and other environments
Troubleshoot inference issues and escalate model anomalies
Assist with DSPy pipelines and custom model configurations
Support evaluation runs using internal metrics
Prepare legal text datasets and annotate outputs
Requirements: Background in Computer Science, Data Science, or AI/ML
Familiarity with Python, pandas, scikit-learn, or PyTorch
Exposure to DSPy, LangChain, Hugging Face, or equivalent
Comfort working with Databricks, MLflow, or cloud ML environments
Solid organizational skills for tracking experiments
Apply data science, Python, Databricks, and LLM framework knowledge to support Ontario Data Platform inference initiatives.

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📌 Data Scientist Ontario Data Platform
🏢 Softline Technology
📍 Ontario