Software Developer
- Toronto, ON, Canada
$60 to $65 CAD / hour · Full-time
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Job details
- Pay
- $60 to $65 CAD / hour
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Software Developer Senior
Location: Toronto, Ontario
Job Type: Contract
Hourly Rate: $60 - 65 Inc
Contract Duration: 152 Days + 152 Days
Work Arrangement: Onsite 5 Days per Week
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 solutions 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.
Skills And Qualifications
Run and Monitor Inferences
Location: Toronto, Ontario
Job Type: Contract
Hourly Rate: $60 - 65 Inc
Contract Duration: 152 Days + 152 Days
Work Arrangement: Onsite 5 Days per Week
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 solutions 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.
Skills And 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.
Run and Monitor Inferences
- Execute batch inference jobs on Databricks and other environments.
- Troubleshoot inference issues, log results, and escalate model anomalies.
- Assist with running DSPy pipelines and loading custom models/configs.
- Support evaluation runs using internal metrics.
- Track and summarize performance metrics for inference experiments.
- 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.
More about this job
Responsibilities
Run and monitor batch inference jobs, troubleshoot issues, record results, and escalate model anomalies. Support DSPy pipelines and model evaluations, prepare and annotate legal text datasets, track experiment metrics, and maintain reproducible scripts and notebooks.
Requirements
A background in computer science, data science, or AI/ML is sought, and students or recent graduates are welcome. Candidates should be familiar with Python and relevant data or machine-learning libraries, have exposure to LLM frameworks and cloud ML environments such as Databricks or MLflow, and be detail-oriented and organized.
Skills
- Python
- Pandas
- Scikit-Learn
- PyTorch
- DSPy
- LangChain
- Hugging Face
- Databricks
- MLflow
- Batch Inference
- Model Evaluation
- Data Cleaning
- Experiment Tracking
- Legal Text Data
- Error Analysis
- Reproducible Scripts And Notebooks
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Software
- Technology
- Science & Research
- Government & Public Sector
Keywords
- Ontario Data Platform
- Data And AI Transformation
- Data Science
- Artificial Intelligence
- Machine Learning
- Python
- Pandas
- Scikit-Learn
- PyTorch
- Large Language Models
- DSPy
- LangChain
- Hugging Face
- Databricks
- MLflow
- Batch Inference
- Inference Monitoring
- Model Anomalies
- Data Pipelines
- Model Evaluation
- Performance Metrics
- Legal Text Datasets
- Data Cleaning
- Annotation
- Error Analysis
- Benchmarking
- Reproducible Experiments
- Data Governance
- Data Quality
- Data Visualization