Job Title: Machine Learning Specialist

Duration: 12 months (2026-09-01 to 2027-08-31 hours: 1,805.25) (Maximum Extension Term: 6 months)

Location: Edmonton, AB (7000 - 113 ST, Edmonton, Alberta T6H 5T6)

Work Type: The expectation will be for the resource to work from the office 5 days a Week

Labor Type: Admin/Clerical

Positions: 1

Max subs: 3

Hours/Day: 7.25

Hours/Week: 36.25

Equipment Requirements

- The Contractor is responsible for supplying all equipment necessary for remote work, including computers, software, printers, supplies, and appropriate office furniture.

All contracted resources must utilize a computer with a modern version of Windows or macOS compatible with Azure Virtual Desktop (AVD) and related remote-access software. Windows is strongly preferred due to system compatibility. Required remote-access software will be installed on the resource's local machine. While the Contractor supplies all physical hardware and work environment setups, the Province will ensure resources are granted the required credentials and access to Government of Alberta systems.

The fixed rate quoted must be inclusive of all overhead, office space and equipment, including supplies, administrative burden, mark-up and all other costs to perform the Services for the duration of the Contract.

Working Hours

- Standard Hours of work are 08:15 – 16:30 Alberta time, Monday through Friday excluding holidays observed by the Province
- Work must be done from within Canada, due to network and data security issues.
- It is anticipated the role will be 100% remote, however in the event of an onsite meeting, the GoA does not pay for travel to attend in office meetings, nor any expenses related to relocation, commuting, housing/accommodation, food/drink.

Notes on Location:

Resource will work remotely, though must be available for onsite meetings when required.

Onsite meetings include but are not limited to strategic, analytical, and technical discussions, meeting with team members, senior managers, directors, executive directors, and business clients. Frequency of meeting could be up to 3-4 times per fiscal year. Actual onsite attendance may be negotiable, particularly if resource lives outside Alberta

Incumbency

- This is a net new role.

Background Check Required:

Standard Background Check

- The Supplier shall, prior to commencement of the Services, provide the Province, on its request and at no cost to the Province, with criminal record checks.

Mandatory Training Courses:





- Once hired the resource will be required to complete all mandatory training which includes but not limited to Freedom of Information and Protection of Privacy Act and Security awareness training. There may also be some optional courses as well.

Anticipated Interviews Dates

- Interviews are expected to happen approximately 2 weeks after the posting closes.

Refer to the Job Posting attachments for the proposed form of contract applicable to this Contingent Resource Request

Description:

Project Name:

Data Projects

Scope:

The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and productive services across the government to provide better services to Albertans.

The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans The successful candidate will be a Machine Learning Specialist with a diverse range of analytical skills and experience in working in multi-faceted roles.

The role may have aspects of any or all the following: machine learning (ML) model development, artificial intelligence (AI), data analysis, data science, AI development, data engineering, data modelling, statistical analysis, &, strategizing, advising, and data product design and delivery. There may be aspects of data architecture, technical analysis, and business analysis.

Duties





Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. The MLS creates tools, models, and analysis to apply artificial intelligence for better government policy and services.

The MLS will work with cross-functional project teams to apply machine learning (ML). Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:

- Helps teams identify when (and when not) to apply ML, including identifying prerequisites for good ML applications.
- Facilitates, coaches, and mentors others in the application of ML to complex public challenges.
- Helps identify and select ML tools, services, and infrastructure.
- Creates data collection, normalization, and cleaning procedures.
- Creates training scripts and train models for specific domains using chosen ML packages.
- Runs ML driven analyses of large datasets and reports on findings.
- Creates ML analytics, reports, and insights to inform better services and policymaking.
- Integrates trained ML models within applications.
- Develops auditing, accountability, and transparency mechanisms for ML capabilities.
- Works within privacy legislation and provides ethical as well as practical guidance on ML implementation.
- Develop and share analytical models and products.
- Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.
- Support in development of full-stack data analytics or AI applications as required.
- Provide expertise and leadership in the design and competition of analytic projects.
- Conducting complex data analysis and collaborating with data engineers and analysts on various projects.
- Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
- Gather and document client requirements.
- Capture business and technical metadata for ML products.
- Escalate issues and risks, as appropriate.
- Work within a multi-vendor/staff environment.
- Other responsibilities as required or requested.

📌 Machine Learning Specialist (Edmonton)
🏢 Radiant Systems Solutions
📍 Edmonton