Intermediate Software Developer (Toronto)

Intermediate Software Developer (Toronto)

01 Nov
|
Akkodis
|
Toronto

01 Nov

Akkodis

Toronto

Position: Intermediate Software Developer

Duration: 5 Months assignment (contract)
Client Location: Toronto (Onsite: 7.25 hours/day between 8:00 AM and 5:00 PM, Monday to Friday)
Engagement Model: Qualified Services Engagement - B2B (Incorporated Entities Only)

Note on Assignment Type

This position is provisionally Onsite, requiring 7.25 hours per calendar day between 8:00 AM and 5:00 PM, Monday to Friday (excluding breaks). Conditions may change based on organizational requirements and at the discretion of the Hiring Manager.

About the Engagement

Akkodis is seeking an Intermediate Software Developer to support a large-scale Data & AI transformation initiative focused on advancing enterprise data and artificial intelligence capabilities.

The successful consultant will contribute to AI and machine learning initiatives by supporting model inference, experimentation, evaluation processes, and data preparation activities. This role offers an opportunity to work with modern AI technologies, large language model (LLM) frameworks, cloud-based machine learning platforms, and enterprise-scale data solutions.

The consultant will collaborate with data scientists, developers, platform teams, and business stakeholders to support the development, evaluation, and continuous improvement of AI-driven solutions.

Scope

Support AI/ML experimentation, model evaluation, and performance analysis activities.

Assist with the execution of DSPy and other LLM-based pipelines.

Load, configure, and validate custom models and AI workflows.

Troubleshoot inference issues and escalate identified model anomalies.

Support evaluation runs using established business and technical metrics.

Assignment Deliverables





Cleaned and prepared datasets for model evaluation activities.

Reproducible scripts, notebooks, and configuration documentation.

Error analysis and model output annotation artifacts.

Performance metric summaries and recommendations.

Status updates and project support documentation.

Expertise Required

Must Have:

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.

Nice to Have:

Knowledge of model evaluation, benchmarking, and performance measurement techniques.

Experience using version control tools and collaborative development practices.

Security Clearance

Required.

Important

This is a business-to-business engagement. Candidates must represent an incorporated entity, hold a valid business number, maintain appropriate insurance, and invoice for services rendered.

How to Apply

Submit your resume in confidence via the Akkodis Canada website.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions.

Accessibility:

At Akkodis, part of The Adecco Group, our purpose is simple: to make the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matter. We encourage applications from individuals of all backgrounds and identities. Together, we're making the future work for everyone.

📌 Intermediate Software Developer (Toronto)
🏢 Akkodis
📍 Toronto

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: intermediate software developer (toronto) / toronto

Subscribe to this job alert:

Get the latest job offers by email for: intermediate software developer (toronto) / toronto