Alberta Machine Intelligence Institute (Amii)

Producer

• Lead the entire video production process, from planning and storyboarding to shooting and editing, ensuring high-quality content that aligns with strategy and engages target audiences to enhance brand awareness, engagement, and lead generation.
• Create and distribute compelling content that connects with target audiences, drives engagement, and supports brand growth, lead identification, and revenue generation.
• Track content performance, using data and insights to test and refine strategies to continuously improve visibility, increase engagement, and drive growth and revenue targets.
• Capture high-quality photo assets for use across digital and print channels to enhance storytelling, support campaigns, and document events and initiatives in alignment with Amii’s brand.

Producer, Video & Photo

Administrative Assistant

• Provide administrative and workflow support that keeps the Revenue Team moving efficiently, including meeting coordination, action item tracking, and cross team communication.
• Support the planning, tracking and reporting of events, campaigns, lead generation and nurture activities that contribute directly to Amii’s revenue partnership pipeline and awareness goals.
• Maintain strong data hygiene across CRM and marketing platforms through project management, document management as well as overseeing general admin tasks including travel booking, expense tracking and reconciliation.
• Schedule and coordinate meetings and logistics for grants and sponsorships and the Revenue teams (Investments & Partnerships, Marketing & Communications)
• Liaise across internal stakeholders (sales, marketing, finance, operations) and external vendors/suppliers
• Attend meetings as needed to record action items, assign owners and due dates, and log items in the project management system
• Follow up on outstanding tasks and ensure project boards remain up to date
• Provide general administrative support including calendar management, travel bookings, purchase orders, and vendor invoice processing
• Process and reconcile expenses for the CRO as well as the Revenue team members as needed.
• Assist with planning and execution of events tied to lead generation (trade shows, webinars, partner events)
• Coordinate vendors, registrations, travel, catering, shipping, collateral, booth materials, and onsite logistics
• Assist in preparing summary reports and dashboards using Excel or Google Sheets.

Administrative Coordinator

Machine Learning Engineer

• This is a paid residency that will be undertaken over a 12-month period with the intention to be hired by the client afterwards.
• 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.
• Design, implement, optimize, and evaluate models for real-time fraud detection using audio and text data.
• Undertake applied research on ML and audio processing techniques to address the limitations in existing models.

Machine Learning Resident – Client: Blue Raven

Revenue Operations

• Coordinate meetings, calendars, and action tracking to support the efficient day-to-day operations of the Revenue team
• Provide operational and administrative support, including travel bookings, expense submissions and reconciliation, purchase orders, and vendor invoice processing
• Support cross-functional coordination with Marketing, Finance, Operations, and external vendors to ensure initiatives move forward smoothly
• Support the planning and execution of revenue-generating events and marketing initiatives, including logistics, registrations, vendor coordination, and materials management
• Track event and campaign expenses and budgets, and collaborate with Finance to ensure accurate reporting and alignment with revenue objectives
• Maintain accurate and well-organized data in CRM and marketing systems by updating records, tagging leads, and supporting pipeline and list management
• Prepare and maintain reports, dashboards, and summaries related to events, campaigns, and revenue performance using Excel or Google Sheets
• Use approved tools, including AI and project-management systems, to improve efficiency, maintain organization, and continuously strengthen operational processes

Marketing, Revenue Operations Coordinator

• Design, implement, optimize, and evaluate models for energy consumption forecasting tasks.
• Work with large datasets for training, fine-tuning, and validating models.
• Utilize state-of-the-art modeling techniques and ML frameworks, tools and open-source libraries to enhance model performance, accelerate workflows, and optimize data processing.
• Undertake applied research on deep reinforcement learning and time-series analysis techniques to expand the capabilities of the current models.
• 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 – Client: T.rex AI

• This is a paid residency that will be undertaken over a 12-month period with the potential to be hired by our client, Enerva, 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.
• Design, implement, optimize, and evaluate machine learning models to support energy consumption forecasting and related analytical tasks.
• Prepare, clean, and preprocess high-quality datasets to ensure they are suitable for training or fine-tuning, validating, and comparing forecasting models.
• Apply state-of-the-art modeling techniques, ML frameworks, tools and open-source libraries to improve model performance, accelerate workflows, and optimize data processing.
• Undertake applied research on ML and time-series techniques to improve or extend existing forecasting approaches.
• Contribute to improving ML pipelines with a focus on efficiency, scalability, and real-time processing capabilities.
• Collaborate with the project team and stakeholders to develop proof-of-concept and MVP-level solutions aligned with the client.
• Engage in regular client meetings, contributing to presentations and reports on project progress.

Producer, Video & Photo

Administrative Coordinator

Machine Learning Resident – Client: Blue Raven

Marketing, Revenue Operations Coordinator

Machine Learning Resident – Client: T.rex AI

Machine Learning Resident – Client: Enerva