Junior Engineer

KOOTENAY SAVINGS CREDIT • Trail, BC

10h • CA$0 - CA$38 • Hybrid

About The Position

Kootenay Savings Credit Union is seeking a highly motivated and experienced Junior Engineer to join our team. In this role, you will support KSCU’s digital transformation by assisting in the development, implementation and maintenance of artificial intelligence and machine learning solutions within the credit union’s technology ecosystem. Working under the guidance of senior technical staff, this role contributes to AI-powered initiatives that enhance member experience, operational efficiency, and data-driven decision-making while ensuring compliance with regulatory obligations. This position provides hands-on learning opportunities in AI/ML technologies, cloud platforms, and responsible AI practices within a highly regulated financial services environment.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics or in another discipline with a significant AI/ML or programming component, OR completion of a college program in Computer Science, Data Science, or related technical field.
• A minimum of 2 years’ experience in software development, data science, AI/ML engineering or an equivalent combination of education and experience.
• Academic project experience or internships involving machine learning, data analysis, or AI applications.
• Python programming for data science and machine learning applications.
• Basic understanding of machine learning concepts (supervised/unsupervised learning, classification, regression, neural networks).
• Familiarity with at least one ML framework (TensorFlow, PyTorch, scikit-learn, or similar).
• SQL and database fundamentals.
• Git version control.
• RESTful APIs and basic integration concepts.
• Data manipulation and analysis libraries (pandas, NumPy).
• Azure Functions for serverless computing and event-driven architectures.
• Understanding of Durable Functions for workflow orchestration and stateful processing.
• Must be bondable and maintain bonding eligibility throughout employment, in accordance with organizational and insurer requirements.

Nice To Haves

• Certifications in AI/ML, Azure AI, or related technologies are considered an asset.
• Exposure to cloud platforms (preferably Microsoft Azure) is an asset.
• Familiarity with Agile development methodologies is preferred.
• Experience or coursework in financial services or highly regulated industries is an asset.
• Microsoft Azure cloud services (Azure AI services, Azure OpenAI, Azure Machine Learning).
• AI orchestration frameworks (LangChain, Semantic Kernal, or similar).
• Prompt engineering and working with large language models.
• Vector databases, embeddings and Cosmos DB for NoSQL data storage and management (nice to have).
• Microsoft Power Platform.
• DevOps basics (CI/CD concepts, Azure DevOps).
• Data visualization tools.
• Natural Language Processing (NLP) techniques.
• Responsible AI principles and practices.

Responsibilities

• Assists in developing, testing, and deploying AI/ML models to support business objectives and member services.
• Supports data collection, cleaning, preprocessing, and feature engineering activities to prepare datasets for machine learning applications.
• Participates in prompt engineering and fine-tuning of large language models (LLMs) and generative AI solutions.
• Helps integrate AI solutions with existing systems including CRM platforms, core banking systems, and Microsoft technology stack through APIs and Azure services.
• Assists in building and maintaining serverless AI workflows using Azure Functions and Durable Functions for scalable, event-driven AI processing.
• Assists in monitoring AI model performance, identifying anomalies, and supporting model maintenance and optimization efforts.
• Supports the implementation of AI solutions using Azure AI services, Azure OpenAI, and other cloud-based AI platforms.
• Collaborates with cross-functional teams to understand business requirements and translate them into technical AI/ML solutions.
• Documents AI workflows, model specifications, data pipelines, and technical processes to support audit and compliance requirements.
• Participates in code reviews and follows version control best practices using Git and DevOps workflows.
• Supports compliance with Canadian data privacy and financial regulations (such as but not limited to; OSFI, SOC 2) in all AI development activities.
• Assists in implementing responsible AI practices including bias detection, fairness evaluation, and ethical AI principles.

Benefits

• $38.42/hour
• Comprehensive benefits including extended health, dental, and vision coverage (subject to 30 day waiting period)
• Health Care & Personal Spending Account
• No service fee credit union chequing account for the duration of the contract
• A fulfilling career in a progressive organization that embraces leading strategic initiatives
• A workplace that puts community and employees first, supporting local non-profits, student bursaries, and community sponsorships

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level