Must Have: Background in Computer Science, Data Science, or AI/ML (student or recent grad is good). Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch. Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent). Comfortable working with Databricks / MLflow or other cloud ML environments. Detail-oriented with solid organizational skills for tracking experiments. Role Overview: We are looking for a data scientist to support various initiatives related to the platform as well as the execution of use cases to support the needs of various businesses. Skills Experience and Skill Set Requirements

Key Responsibilities
Run and Monitor Inferences o Execute batch inference jobs on Databricks and other environments. o Troubleshoot inference issues, log results,



and escalate model anomalies. Pipeline & Evaluation Support o Assist with running DSPy pipelines and loading custom models/configs. o Support evaluation runs using internal metrics o Track and summarize performance metrics for inference experiments. Data Handling & Experimentation o Help prepare and clean legal text datasets for inference and evaluation. o Annotate outputs to support error analysis and benchmarking. o Maintain reproducible scripts/notebooks for inference runs. Technical Skills
- 50% LLM frameworks
- 25% Databricks/MLflow
- 25%

📌 CLDR-Data Scientist /ML/AI Specialist - Toronto - Part time -Onsite
🏢 Cloud Resourcing
📍 Toronto