Posted 2 days ago
Senior Software Developer
@ 2iSolutions Inc.
Toronto, Ontario
Overview
2iSolutions Inc. is hiring a senior software developer for a 7-month onsite contract in Toronto, ON, working five days a week. The role centres on machine learning work: preparing and analyzing data, running batch inference jobs and tracking model experiments. Candidates need Python and ML library experience and familiarity with cloud ML environments.
Responsibilities:
- Prepare, clean and annotate data for analysis
- Execute and monitor batch inference jobs
- Troubleshoot inference issues
- Track model experiments and evaluate performance
Requirements summary:
- Familiarity with Python and pandas, scikit-learn or PyTorch
- Exposure to LLM frameworks such as DSPy, LangChain or Hugging Face
- Experience with Databricks, MLflow or cloud ML environments
- Understanding of model evaluation and performance metrics
- Strong organizational skills for tracking experiments
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-08
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
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 |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
2iSolutions Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 1 |
Our Toronto-based client is hiring a Software Developer – Senior for a 7-month onsite contract opportunity in Toronto, ON. The candidate must work onsite 5 days a week.
Must Haves:
- Familiarity with Python and libraries such as pandas, scikit-learn, or PyTorch.
- Exposure to LLM frameworks such as DSPy, LangChain, Hugging Face, or equivalent.
- Experience or familiarity with Databricks, MLflow, or other cloud-based ML environments.
- Ability to execute and monitor batch inference jobs and troubleshoot inference issues.
- Understanding of model evaluation, performance metrics, and experiment tracking.
- Strong data preparation, cleaning, annotation, and analysis skills.
- Detail-oriented with strong organizational skills for tracking experiments.
Journal
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