Principal Investigator, AI Hub

Durham College•Oshawa, ON

7d•Onsite

About The Position

Durham College (DC) is seeking experienced and motivated professionals to join the AI Hub on a part-time, project-based contract. The role involves overseeing the development of real-world solutions for industry partners through applied research and knowledge transfer projects. Teams of expert faculty, students, and recent graduates collaborate with industry partners to deliver innovative AI-based solutions to business problems. Projects may include producing and testing prototypes, evaluating new technologies, and developing new or improved products or processes for small- and medium-sized businesses (SMEs), all funded by government grants. The AI Hub, located at the Oshawa Campus, provides SMEs access to facilities, equipment, technical expertise, and project services for product development, technology adoption, market expansion, and commercialization.

Requirements

An undergraduate degree in Computing Science, Information Technology, Business or a related field, preferably a masters degree.
Three to five years of relevant industry experience and demonstrated ability in fields and technologies relevant to project opportunities.
Demonstrated research skills and project delivery abilities preferably with experience carrying out research projects.
Excellent organizational and time management skills, with excellent attention to detail, and the ability to multi-task and prioritize projects.
Strong written and verbal communication and analytical skills, with ability to work and communicate effectively in an office environment with frequent interruptions and dynamic deadlines.
Proficient computer skills with recent working knowledge of Microsoft applications (Word, Excel and PowerPoint) in a Windows environment.
Self-motivated and independent worker who also functions well in a collaborative team environment.
Strong interpersonal skills and the ability to present and interact with a variety of stakeholders including students, other faculty members, support staff, administrators, other departments within the college and with external partners.
Uncompromised commitment to confidentiality.
Established track record of delivering commercial projects involving Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining.
Established track record of delivering commercial projects involving Generative AI, Deep Learning, Machine Learning, Natural Language Processing, Large Language Models, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining.
Knowledge of high performance computing clusters and working with traditional cloud environments within Azure, AWS and other private clouds.
Knowledge of database structures and functionalities.
Experience with deep learning applications in speech, vision, audio, NLP, semantic analysis, and/or multi-modal data.
Experience using project management trackers.
Experience in open source deep learning frameworks including TensorFlow, MXNet, Theano, and/or Caffe. Solid understanding of underlying algorithmic and architectural concepts.
Hands-on coding experience with C/C++, Python, Scala, Lua, R, , and/or Java. GoLang would be an asset.
Strong experience with systems for large scale data analysis including Spark, Hadoop and Kafka.

Nice To Haves

preferably a masters degree

Responsibilities

Conducting applied research projects in collaboration with college staff and industry partners.
Developing work plans in collaboration with industry partners, including specific resource requirements, milestones and deliverables.
Attending meetings and presenting project scopes, deliverables and metrics.
Identifying human resource needs and interviewing / hiring student research assistants.
Supervising student research assistants.
Providing technical expertise and leadership for applied research projects.
Preparing and implementing dissemination activities, including assisting Research Assistants in the preparation of final materials/reports.
Assisting college staff and students with development and completion of final reports and collection of metrics.
Assisting with follow-up activities with industry clients or funders.
Presenting findings at internal and external events, including conferences and seminars, as required - assisting with development of case studies.
Some travel to industry partner premises.