Please send your resume at [email protected] if you are interested in this approx. 04 months contract with Ontario Public Service (Ministry of Public and Business Service Delivery and Procurement) with a possibility of extension, If you are not interested, please feel free to pass it in your network for anyone looking for work.

Job Title: RQ11580 - Senior Software Developer Working Status: In office Location: 222 Jarvis Street Start Date: 2026-09-10 End Date: 2027-03-31 Hours per day: 7.25 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.

Must Have: Background in Computer Science, Data Science, or AI/ML (student or recent grad is positive). 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.

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%

📌 – AI/ML Engineer (LLM, Python, Databricks) | Ontario Government | Onsite Toronto
🏢 Amyantek
📍 Toronto