Posted 5 days ago
Software Developer - Senior
@ Joblinxsapp
Toronto, Ontario
Overview
Joblinxsapp is hiring a senior software developer for the Government of Ontario's Ontario Data Platform (ODP) initiative. The role executes, monitors and evaluates LLM inference experiments in Databricks and related environments. Full-time.
Responsibilities:
- Execute batch LLM inference jobs with Databricks
- Monitor inference processes and troubleshoot issues
- Run DSPy pipelines and load custom models
- Prepare, clean and annotate legal text datasets
Requirements summary:
- Python with pandas, scikit-learn and PyTorch
- Exposure to DSPy, LangChain or Hugging Face
- Experience with Databricks or MLflow
- Computer Science, Data Science, AI or ML background
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-08
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Education | Bachelor’s degree (preferred) |
| Fields of study | Computer Science, Data Science, Artificial Intelligence, Machine Learning |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Joblinxsapp
| Field | Value |
|---|---|
| Open jobs on Jobsy | 7 |
Project overview
The Government of Ontario is undertaking a major Data and AI transformation initiative focused on developing the Ontario Data Platform (ODP).
The ODP is an enterprise technology ecosystem designed to support data and AI solutions across government ministries, clusters, and program areas.
The platform includes:
Data ingestion technologies.
Data storage and processing.
Data visualization.
Data governance and quality.
Data marketplace solutions.
Machine learning and AI capabilities.
The selected candidate will support Data Science and AI initiatives, particularly the execution, monitoring, and evaluation of Large Language Model (LLM) inference experiments.
LLM Inference Execution and Monitoring
Execute batch inference jobs using Databricks and other environments.
Monitor inference processes and troubleshoot execution issues.
Maintain logs and report model anomalies.
Escalate technical issues when required.
Pipeline Development and Evaluation Support
Assist in running DSPy pipelines.
Load and configure custom models and configurations.
Support model evaluation using internal metrics.
Track, analyze, and summarize inference experiment performance.
Data Preparation and Experimentation
Prepare, clean, and organize legal text datasets for inference and evaluation.
Annotate model outputs to support error analysis and benchmarking.
Maintain reproducible scripts and notebooks for inference experiments.
Skill area
Requirements
Programming
Python
Python libraries
pandas, scikit-learn, PyTorch
LLM frameworks
DSPy, LangChain, Hugging Face or equivalent
Data and ML platforms
Databricks, MLflow
Machine Learning
Model inference, evaluation and experimentation
Data handling
Dataset preparation, cleaning and annotation
Documentation
Reproducible scripts, notebooks and experiment tracking
Educational background in Computer Science, Data Science, Artificial Intelligence or Machine Learning.
Students and recent graduates are welcome.
Familiarity with Python and machine learning libraries.
Exposure to LLM frameworks and model experimentation.
Experience or familiarity with Databricks, MLflow or other cloud-based ML environments.
Strong attention to detail and organizational skills.
Journal
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