Description

Job Title: Machine Learning Specialist

Location: Remote

About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our cutting-edge team members have been solving the most complex business, and IT challenges of our global clients.

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The Machine Learning Specialist supports the Government of Alberta’s Data Centre of Excellence by designing and developing analytical data products, machine learning models, and AI-enabled services that support evidence-based policy and improved public services. Working with cross-functional teams, ministries, external stakeholders, data engineers, analysts, and business leaders, this role applies statistical analysis, data science, artificial intelligence, data modeling, de-identification, and synthetic data techniques to complex public-sector challenges. The position provides hands-on technical leadership and strategic advice throughout the data product lifecycle, while ensuring that ML solutions are reliable, explainable, privacy-compliant, ethical, and aligned with the Government of Alberta Data Strategy.

Responsibilities:

Advise stakeholders and project teams on when and how to apply machine learning, including identifying appropriate use cases, data prerequisites, risks, limitations, and expected business value.

Analyze, organize, normalize, clean, and integrate raw data from multiple sources to prepare it for descriptive, predictive, and prescriptive modeling.

Design, develop, train, validate, document, and refine machine learning and statistical models using appropriate algorithms, packages, tools, and programming languages.

Conduct ML-driven analysis of large datasets and communicate findings through analytical models, reports, visualizations, dashboards,



and actionable insights for government services and policymaking.

Integrate trained machine learning models and analytical capabilities into applications, data products, and full-stack analytics or AI solutions as required.

Develop and maintain auditing, accountability, transparency, metadata, data quality, privacy, security, and ethical governance mechanisms for ML products and services.

Provide technical leadership, coaching, mentoring, requirements analysis, stakeholder engagement, risk escalation, and delivery support within multi-disciplinary and multi-vendor project environments.

Qualifications:

Minimum 6 years of experience using statistical and programming languages such as Python, R, and SQL for data analysis, data science, and machine learning.

Minimum 6 years of experience building analytical and quantitative analysis models to support business, operational, policy, or service-delivery objectives.

Minimum 6 years of experience preparing and transforming data for prescriptive and predictive modeling, including data cleaning, feature preparation, normalization, and quality assessment.

Minimum 6 years of experience applying data analytics and data science methods, including complex statistical modeling and interpretation of analytical results.

Minimum 6 years of experience applying artificial intelligence or machine learning to data science and analytics use cases, such as anomaly detection, predictive monitoring,



classification, forecasting, data transformation, and automation.

Demonstrated knowledge of statistical classification and machine learning techniques, including k-means clustering, hierarchical clustering, partition trees, logistic regression, and related supervised and unsupervised methods.

Demonstrated experience gathering and documenting client requirements, framing analytical questions, developing analytical products, capturing technical and business metadata, and communicating complex findings to technical and non-technical audiences.

Nice to Have

Minimum 5 years of experience with data sharing, data linkage, de-identification, metadata, data quality, data ethics, synthetic data, data literacy, and the responsible use of government data.

Minimum 5 years of experience combining and analyzing raw data from diverse sources across multiple business or subject-matter domains.

Experience preparing visualizations, dashboards, and analytical models; applying statistical and data-mining techniques to business issues; and working with large government datasets, including a minimum of 6 years of statistical and data-mining experience and 4 years of experience with large government datasets.

Equal Employment Opportunity (EEO) Statement:

VLink is an equal chance employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check and/or drug screening, as applicable. Applicant information will be handled in accordance with VLink's privacy policy.

📌 Machine Learning Specialist (Canada)
🏢 VLink
📍 Canada