Software Developer (RQ11580) Government Services Integration Cluster

Softline Technology Inc.; Toronto; On-site; CAD 90,000 - 110,000; Full time

Job summary

The Government of Ontario is seeking a data scientist to support the Ontario Data Platform (ODP) and related AI initiatives. You will run and monitor inferences, load models, and help develop reusable pipelines in Databricks and other cloud environments.

Ideal candidates have a CS/DS/AI background, proficiency in Python and libraries such as pandas and scikit-learn, and exposure to PyTorch and LangChain. Recent graduates are welcome, and the team emphasizes reproducible experiments.

Qualifications

• 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 strong organizational skills for tracking experiments.

Responsibilities

• Run and Monitor Inferences
• Execute batch inference jobs on Databricks and other environments.
• Troubleshoot inference issues, log results, and escalate model anomalies.
• Pipeline & Evaluation Support
• Assist with running DSPy pipelines and loading custom models/configs.
• Support evaluation runs using internal metrics
• Track and summarize performance metrics for inference experiments.
• Data Handling & Experimentation
• Help prepare and clean legal text datasets for inference and evaluation.
• Annotate outputs to support error analysis and benchmarking.
• Maintain reproducible scripts/notebooks for inference runs.

Skills

Python

Pandas

Scikit-learn

PyTorch

LLM frameworks

Education

Background in Computer Science, Data Science, or AI/ML

Tools

Databricks

MLflow

LangChain

Hugging Face

Job description

The Government of Ontario is embarking on a large Data & AI transformation initiative. Core to the transformation is the enablement of the Ontario Data Platform (ODP), which is being developed as the enterprise technology ecosystem for everything Data & AI. ODP is a modern ecosystem of data solution consisting of data ingestion technologies, storage, processing and visualization as well as solutions related to data governance, quality, marketplace, etc. ODP will initially serve all internal government clusters, ministries and program areas, but also external agencies in the future. 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 within the government.

Experience Requirements

Key Responsibilities

• Run and Monitor Inferences
• Execute batch inference jobs on Databricks and other environments.
• Troubleshoot inference issues, log results, and escalate model anomalies.
• Pipeline & Evaluation Support
• Assist with running DSPy pipelines and loading custom models/configs.
• Support evaluation runs using internal metrics
• Track and summarize performance metrics for inference experiments.
• Data Handling & Experimentation
• Help prepare and clean legal text datasets for inference and evaluation.
• Annotate outputs to support error analysis and benchmarking.
• Maintain reproducible scripts/notebooks for inference runs.

Evaluation Criteria

Technical Skills – 50%

LLM frameworks – 25%

Databricks/MLflow – 25%

Supplier Comments

Closing Date/Time: 2026-11-12, 12:00 p.m. EST.

Max submission: 1 (one)

5 days onsite

• 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 strong organizational skills for tracking experiments.