Intermediate Software Developer
- Toronto, ON, Canada
Contract · Temporary
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Job details
- Job type
- Contract · Temporary
- Apply by
- Posting language
- English
- Posted
Original job description
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: Professional 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.
More about this job
Responsibilities
The Intermediate Software Developer at Akkodis will support AI and machine learning experiments, run model evaluations and prepare data sets. They will also troubleshoot model issues and produce reproducible scripts, notebooks and performance reports.
Requirements
Candidates need a background in computer science, data science or AI/ML, with Python experience using pandas, scikit-learn or PyTorch. Exposure to LLM frameworks, Databricks or MLflow, and strong organization for tracking experiments are required, and security clearance is required.
Skills
- Python
- pandas
- scikit-learn
- PyTorch
- DSPy
- LangChain
- Hugging Face
- Databricks
- MLflow
- Machine learning
- Large language models
- Model evaluation
- Benchmarking
- Data preparation
- Experiment tracking
- Troubleshooting
- Version control
- Git
- Jupyter notebooks
- Technical documentation
- Data analysis
- Performance metrics
- Collaboration
Categories
- Technology
- Data & Analytics
- Software
Keywords
- Python
- pandas
- scikit-learn
- PyTorch
- DSPy
- LangChain
- Hugging Face
- LLM
- Databricks
- MLflow
- machine learning
- AI
- model evaluation
- data preparation
- Git
- software developer
- intermediate developer
- contract
- Toronto
- onsite
Seniority
Mid level
Tools
- Python
- pandas
- scikit-learn
- PyTorch
- DSPy
- LangChain
- Hugging Face
- Databricks
- MLflow
Languages
- English
Fields of study
- Computer Science
- Data Science
- AI/ML