Alberta Machine Intelligence Institute (Amii)

Machine Learning Engineer

• Utilize exceptional content development and delivery skills to help organizations and individuals grow their AI literacy
• Collaborate with Amii clients to build trust and drive the progress of their machine learning projects and capabilities
• Contribute Machine Learning expertise and stay current on the application of ML/AI in various technical areas and domains
• Identify, build, maintain, and deliver engaging, relevant content that meets clients' needs in a blended learning environment
• Fosters a supportive learning environment that encourages exploration and growth in AI literacy
• Provides training and guidance on machine learning concepts, strategies, and best practices

Associate Machine Learning Educator

• This is a paid residency that will be undertaken over a 12-month period with the potential to be hired by our client, Dune Engineering, afterwards (note: at the discretion of the client).
• The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities.
• Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development.
• Help shape AI-driven methods and tools to support engineering design processes.
• Collaborate with Dune Engineering’s experts on research, prototyping, and capabilities development.

Machine Learning Resident – Client: Dune Engineering

• This is a paid residency that will be undertaken over a 12 month period with the potential to be hired by our client, Vestas, afterwards (note: at the discretion of the client).
• The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities.
• Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development.
• Apply advanced reinforcement learning methods (e.g., RLHF, GRPO) with knowledge graphs and generative models to improve guide generation and validation.
• Conduct applied research on reinforcement learning and RAG techniques to overcome limitations in current approaches.
• Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities.
• Collaborate with the project team and stakeholders to develop MVP and client-focused solutions.
• Engage in regular client meetings, contributing to presentations and reports on project progress.

Machine Learning Resident – 1 year term

Learning and Development

• Ensures the development and maintenance of an optimal learning environment for our clients
• Supports the development of curriculum that is engaging and centered around the learner's needs, tailored for multiple delivery formats, including blended learning, HyFlex, and micro credential programs
• Applies universal design principles throughout the curriculum development process to create accessible and inclusive learning experiences for all learners
• Utilizes rapid authoring tools to create high-quality e-learning content
• Identifies problem-solving approaches in collaboration with team members, contributing to a culture of creative solutions
• Identifies and implements opportunities to improve efficiency within the Training team, streamlining processes for better performance
• Contributes to the effective coordination and management of internal tools and resources, ensuring they support both learner success and overall team effectiveness

Instructional Designer, 7 month term

• Design, implement, evaluate, and optimize forecasting models, for AI-driven simulation methodologies and optimization algorithms for demand forecasting and workforce optimization tasks
• Prepare, curate, and preprocess high-quality datasets for training and validating models.
• Undertake applied research to address the limitations in existing methods.
• Collaborate with the project team and stakeholders to develop MVP and client focused solutions.
• Engage in regular client meetings, contributing to presentations and reports on project progress.
• Compile and document project methodologies, experimental setups, analyses, and key findings.

Machine Learning Resident

Marketing Operations

• Supports the strategic planning and leads the execution of all marketing operations
• Develops, owns, and executes marketing operations, product marketing, and brand management strategies that align with organizational goals
• Leads and optimizes marketing automation processes to drive efficient, data-driven campaigns
• Ensures CRM data accuracy, seamless execution of automated workflows, and strategic adoption of new marketing technologies
• Understands and manages data flows between MarTech tools and the broader organization
• Develops and deploys customer journeys and campaigns at all lifecycle stages
• Proactively communicates insights and results from marketing initiatives to internal stakeholders
• Works collaboratively with cross-functional teams to derive insights that support business growth and management
• Documents and creates roadmaps for marketing automation standard operating procedures
• Delegates tasks effectively to team members of the Marketing & Communications team
• Offers expert advice on marketing strategies
• Analyzes market trends, competitive landscapes, and client insights to inform product positioning
• Establishes and shares best practices in marketing
• Collaborates with cross-functional teams to develop and execute go-to-market strategies for new product launches
• Assesses the effectiveness of marketing campaigns
• Organizes and leads workshops or training sessions on marketing concepts

Associate Machine Learning Educator

Machine Learning Resident – Client: Dune Engineering

Machine Learning Resident – 1 year term

Instructional Designer, 7 month term

Machine Learning Resident

Director, Marketing Operations