RQ11580 - Software Developer - Senior
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original job description
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.
Requirements
Experience and Skill Set Requirements:
Must Haves:
- 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.
Skill Set 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
- LLM frameworks
- Databricks/MLflow
More about this job
Responsibilities
The software developer will execute and monitor batch inference jobs on Databricks while troubleshooting model anomalies. They will also support pipeline evaluation, maintain reproducible scripts, and prepare datasets for benchmarking.
Requirements
Candidates must have a background in Computer Science, Data Science, or AI/ML with proficiency in Python and relevant libraries. Experience with LLM frameworks and cloud ML environments like Databricks is required.
Skills
- Python
- Pandas
- Scikit-learn
- PyTorch
- LLM Frameworks
- DSPy
- LangChain
- Hugging Face
- Databricks
- MLflow
- Data Science
- Machine Learning
- Data Ingestion
- Data Governance
- Inference Monitoring
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Government & Public Sector
- Science & Research
Keywords
- Software Developer
- Data Science
- AI
- ML
- Python
- Pandas
- Scikit-learn
- PyTorch
- LLM
- DSPy
- LangChain
- Hugging Face
- Databricks
- MLflow
- Data Ingestion
- Data Governance
- Inference
- Batch Processing
- Benchmarking
- Data Platform
- Cloud ML
- Government of Ontario