Machine Learning Resident (12 months)

at  Alberta Machine Intelligence Institute

“If you are interested in applying machine learning and deep learning to remote sensing imagery segmentation to support precision agricultural applications, this is the right opportunity for you. Be a part of the team of research and machine learning scientists and get mentored by some of the best minds in AI.”

• Atefeh Shahroudnejed, Machine Learning Scientist and Mara Cairo, Product Owner, Advanced Technology

REQUIRED SKILLS / EXPERTISE

Are you passionate about building great solutions? Do you want to drive a high impact business? You’ll be presented with opportunities to both personally and professionally develop as you build your career. We’re looking for a talented and enthusiastic individual with a solid background in machine learning, specifically computer vision.

REQUIRED QUALIFICATIONS:

• Completion of a Computing Science, Electrical Engineering (or a related graduate program) with a specialization in Computer Vision, MSc. or PhD
• Solid understanding and experience in applying different deep learning models and techniques for computer vision tasks such as image segmentation, object detection, and etc
• Familiarity with advanced models such as Transformers and ViTs
• Experience using classical computer vision tools and libraries (e.g., OpenCV, Pillow)
• Proficient in developing and training deep neural network models in PyTorch and/or Keras
• Proficient in Python programming language and related ML frameworks, libraries, and toolkits
• Familiarity with Ubuntu, SSH, Git, and writing clean code.
• A positive attitude towards learning and understanding a new applied domain
• Must be legally eligible to work in Canada

PREFERRED QUALIFICATIONS:

• Publication record in peer-reviewed academic conferences or relevant journals in machine learning (specifically machine vision)
• Familiarity with AWS ecosystem

NON-TECHNICAL REQUIREMENTS:

• Desire to take ownership of a problem and demonstrated leadership skills
• Interdisciplinary team player enthusiastic about working together to achieve excellence
• Capable of critical and independent thought
• Able to communicate technical concepts clearly and advise on the application of machine intelligence
• Intellectual curiosity and the desire to learn new things, techniques, and technologies

ABOUT THE ROLE

This is a paid residency that will be undertaken over a twelve-month period with the potential to be hired by our client, Croptimistic Technology Inc, afterwards (note: at the discretion of the client). The resident will report to an Amii Scientist and regularly consult to and work with the Client team to share insights and engage in knowledge transfer activities.

KEY RESPONSIBILITIES:

• Build, train, and evaluate ML models for computer vision tasks, especially image segmentation
• Prepare data for ML training
• Undertake applied research on ML techniques to address the limitations in existing models
• Collaborate with project team and stakeholders to develop MVP and client focused solutions
• Participate in regular meetings with the client, preparing presentations and reports