Modeling Instructor

Instructor (FastLane) Data Readiness & Model Deployment (DaRMoD)
Education
Please note, this ad is for one to three Instructor positions within the Data Readiness and Model Deployment program in summer 2024. The positions(s) will not be formally contracted until the enrollment is finalized and the program is confirmed as running. We are advertising for these positions in advance of May 7, 2024, so we are able to move quickly on staffing and developing the program content once confirmed. Please note that the Vector Institute will conduct an evaluation of workshop participants to both evaluate the performance of the instructor(s), as well as consider program improvements for future iterations.
The instructor(s) for this program may be asked to provide their service to other programs of similar type, where offered by the Vector Institute in the same fiscal year, provided they receive positive feedback from the program participants and receive successful evaluation from Vector’s Technical Education Specialists.
STATEMENT OF WORK: FastLane - Data Readiness & Model Deployment - Instructor
These Instructor positions are for the development and delivery of the Data Readiness & Model Deployment program. This program is being held for employees of companies within the Vector Institute’s FastLane ecosystem. It will equip FastLane SMEs with the skills and knowledge necessary to accelerate the implementation of machine learning on a predefined use case within their organizations. The program spans the life cycle of a typical machine learning project from data preparation to model deployment.
1) Data Readiness, 2) Model Development, and 3) Model Deployment. The instructor(s) will be responsible for developing and delivering lecture content and performing hands-on demos for the assigned module(s). The teaching commitment will vary depending on the module(s) for which you apply. The flat fee for development and delivery of content is $2250 (CAD) for modules 1 and 3, and $1500 for module 2.
Module 1: Data Readiness – 3 Weeks
Instructor content creation and delivery include:
Prepare content and ensure that all course materials (e.g. lesson objectives, slides, discussion prompts, assignment activities) are prepared in advance of the lecture time and are available in the Vector Learning Management System (LMS), currently D2L
Attend scheduled program team meetings (including TA onboarding): planning and debrief (typically weekly)
Participate in a Vector training workshop/briefing with Vector staff
Manage participants' learning progress: work closely with Technical Advisors (TAs) and the Vector Professional Development (PD) staff to ensure the program is delivered successfully and participants’ issues are dealt with in a professional manner. The Instructor and TAs will interact directly with participants on the content itself. The instructor, in communication with Vector Professional Development staff, will develop and deliver content in line with the following:
To address these challenges, the Vector Institute has developed a new training program designed to equip SMEs with the essential skills and knowledge necessary to accelerate the implementation of machine learning for a pre-defined use case within their organizations.
The program is designed to cover the entire lifecycle of a machine learning project. Each module will be conducted over a period of three weeks and SMEs will be assigned a Technical Advisor (TA) to provide guidance and support throughout the program. TAs are experienced machine learning practitioners who will provide feedback on the SMEs’ work and help address any roadblocks that may arise during the program.
Data Readiness
Many companies face the challenge of having sparse or low-quality data or may inadvertently work with incorrect data transformations, which can all affect the accuracy of machine learning models. Identify relevant data sources to successfully train their machine learning models
Apply data cleaning and preprocessing techniques for their specific data types
Create data visualizations to identify relevant patterns and relationships in their data
Identify strategies to mitigate bias and implement data governance practices within their organizations
Evaluate and optimize model performance
Develop a self-guided approach to model development that best aligns with their projects by referencing examples implemented by Vector Institute
Understand effective principles and practices for building trustworthy AI systems
Apply effective monitoring and maintenance techniques so their deployed models will maintain a high-performance level
The program culminates in a 10-minute capstone presentation where companies will have an opportunity to showcase their work and receive feedback from their peers and members of the Vector community.
All sessions will be delivered online.
Level of Training and Learner Prerequisites
The program will expose learners to several open-source Python packages. Coding concepts will be delivered at an intermediate level and each company should have at least one technical participant who is familiar with the following packages:
matplotlib or similar visualization or exploratory data analysis packages
Vector Institute (Internal Opportunities Only)
Vector Institute (Internal Opportunities Only)
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