RQ11828 - Software Developer - Intermediate

Maarut; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Maarut is seeking a data science enthusiast for an Intermediate Software Developer role to support a major Data & AI transformation for the Government of Ontario. The position focuses on building and running batch inference workloads, evaluating models, and maintaining reproducible pipelines in a cloud-based environment.

The candidate should be proficient in Python, familiar with Pandas and PyTorch, and comfortable working with Databricks/MLflow and LLM frameworks to enable enterprise-scale data

Qualifications

• Background in Computer Science, Data Science, or AI/ML
• Proficiency in Python with pandas, scikit-learn, or PyTorch
• Experience with LLM frameworks (DSPy, LangChain, Hugging Face)
• Experience with Databricks/MLflow or cloud ML environments
• Strong experiment tracking and data handling skills

Responsibilities

• Run and monitor 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.
• Annotate outputs to support error analysis and benchmarking.
• Maintain reproducible scripts/notebooks for inference runs.

Skills

Python

Pandas

Scikit-learn

PyTorch

LLM frameworks

Databricks/MLflow

Education

Background in Computer Science, Data Science, or AI/ML

Tools

DSPy

LangChain

Hugging Face

Job description

RQ11828 - Software Developer - Intermediate

Term 66 days

Number of Positions 1

Work Experience 7-10 Years

City Toronto

State/Province Ontario

M4C

Job Description

Role Overview:

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.

Key Responsibilities:

Run and Monitor Inferences:

• Execute batch inference jobs on Databricks and other environments.
  
• Troubleshoot inference issues, log results, and escalation 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.
  

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:

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.