Now Hiring: Machine Learning Engineer

Job Description

Are you passionate about seeing tech making a real difference in the companies you work with? Do you want to push the boundaries of how a world-leading AI institute is helping organizations implement AI solutions?

“Amii is thrilled to add a Machine Learning Engineer to our Industry Team! As we drive towards our goal of making AI and ML a key competitive driver for companies in Alberta, we want to help the companies we work with realize the true business impact of these technologies. This role will be critical to help us lead this initiative and represents a fantastic opportunity for someone to help shape how a cutting edge AI institute does this.

I’m looking for an ambitious, creative, and pragmatic candidate, who is eager to apply their industry experience in order to help shape Amii’s client engagements. You’re likely my ideal candidate if you:

• Understand the nuances of ML solution implementation from your hands-on industry experience
• Have an exceptional grasp of the current practices and challenges in MLOps
• Love automating everything from infrastructure deployment to model monitoring

AI holds incredible potential to improve our lives. If you’re interested in being part of the organization that unlocks this opportunity in Alberta, I would love to hear from you.”

- David Chan, Product Lead, Industry

About Amii

One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

Job Purpose and Accountabilities

The Machine Learning Engineer (MLE) serves as a key member of the Industry Team and an active participant in Amii achieving its vision of making AI/ML key drivers for economic success for companies in Alberta.

The Machine Learning Engineer uses their applied industry experience in deployment and operationalization of ML solutions in production environments to direct the research and development efforts of Amii Industry Partners and Clients. They bridge the gap between business opportunities and applied ML methods to provide direction and oversight on technical projects. They advise clients along the entire machine learning journey from scoping to model deployment and productionization. This includes making informed decisions about what the data requirements are, what modelling techniques should be tested, how solutions should be deployed and monitored, and how success will be evaluated.

In addition to providing guidance to industry partners, the MLE will support fundamental research through partnerships with Amii Fellows and their students, working with one of the best ML departments in the world.

The MLE empowers Amii clients with the knowledge and skills they need to advance on the AI Adoption Spectrum by specializing in ML deployment expertise, which will complement Amii’s expertise in ML modelling and research. They support Amii's internal teams as subject matter experts based on their MLOps experience.

The role focuses on achieving excellence in three main accountabilities:

• Industry Engagement: working with Amii clients to advance their ML projects and capabilities
• Stakeholder satisfaction: supporting Amii staff as subject matter experts
• Research: supporting the advancement of ML research

Qualifications

• Degree in Computer Science or related field with equivalent experience in Data Science
• 2 or more years of experience developing machine learning models in an applied setting.
• Must have 2 or more years experience deploying machine learning models with production-quality code in industry
• Extensive experience with ML frameworks, platforms and tools, and expert knowledge with at least one tool stack
• Experience and comfort with DevOps and tools such as cloud platforms, containerization, CI/CD, etc
• Proficient in at least one programming language eg: Python, Java, C++ or R
• Familiarity with at least two of: Tensorflow, Keras, PyTorch and Sklearn
• Ability to communicate on technical topics with a non-technical audience
• General understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
• Up-to-date knowledge and strong engineering and analytical skills
• Industry experience in agriculture, health, or energy a plus

Attributes & Expectations

• Critical and independent thought
• Collegiality and willingness to listen to feedback and support teammates
• Intellectual curiosity and the desire to learn new things, techniques, and technologies
• Able to work independently and make informed decisions while collaborating with staff and subject matter experts when appropriate
• Able to identify gaps in knowledge and triage their own learning appropriately
• Flexibility and willingness to adapt, including working with disparate data, skill levels, and client needs
• Ready to take a leadership role within Amii and its clients, providing applied industry expertise and mentorship for Amii and its clients’ teams

If this sounds like the opportunity you've been waiting for, then please don’t wait to apply! To apply, please send your resume and cover letter indicating why you think you'd be a fit for Amii through the listing on Indeed by October 16, 2021.

Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.