Junior AI Software Developer - Canada (Remote)

Info-Tech Research Group delivers impartial, highly pertinent IT research, enabling CIOs and IT leaders to make well-informed, strategic decisions. We are currently serving over 30,000 professionals and collaborate closely with IT teams, equipping them with actionable tools and expert guidance to drive measurable results and enhance technology initiatives and organizational processes.

Why join us?

• We pride ourselves on consistent year-on-year growth, with double-digit growth even during a global pandemic.
• We are in the Top 3 on LinkedIn's Top Companies List in Canada.
• Info-Tech fosters a growth-focused, entrepreneurial culture with unlimited opportunities for professional growth and development.
• We provide financial support for professional development and training.

About the role

We’re looking for Junior A.I. Software Developers with some hands-on experience building A.I. and machine learning solutions, especially people who really care about the quality and impact of what they’re building.?Our stack is built with Ruby on Rails, MySQL, and JavaScript frameworks, and Azure/OpenAI services, but note that experience with any particular item in our stack is not required, and also that the technologies we currently use may change

Your responsibilities as a Junior A.I. Software Developer:

• Build, test, and support the development of machine learning models and AI solutions
• Collaborate with other engineers to integrate AI into broader system architectures
• Analyze requirements and decide the best ways to meet or even rework them; unique and innovative ideas are welcome
• Be proactive by finding and addressing areas of technical concern
• Stay current with AI trends and suggest improvements to existing systems and workflows
• Collaborate across teams to continually improve our processes
• Promote the use of design patterns and best practices
• Contribute to Agile ceremonies for prioritizing, understanding, and estimating
• Support the growth of our Agile practices through Retrospectives

Minimum qualifications:

• Degree or diploma from an accredited institution
• Minimum 1 year of experience in a professional software development role focused on A.I. and/or M.L.

Must Have Skills:

• Ability to develop and deploy A.I. and machine learning solutions, with seamless integration into existing architecture, and to support those solutions after deployment
• Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning
• Experience working with large datasets and data preprocessing techniques
• Experience with machine learning algorithms and deep learning frameworks
• Strong problem-solving and analytical skills with a focus on continuous improvement
• Ability to communicate technical details and build functional requirements
• Ability to maintain focus on priority, and deliver solutions appropriate to requirements

Nice to Have:

• Experience developing relational database solutions
• Experience with SQL authoring and optimization
• Experience with source control software
• Experience writing for and improving existing code efficiencies for large data and high volumes
• Familiarity with agile development methodologies and version control systems
• Experience building and maintaining applications in Ruby on Rails, or with a similar MVC framework such as Laravel or ASP.NET MVC
• Experience building user interfaces in HTML, CSS, JS, and JS frameworks
• Experience with Salesforce integration
• Exposure to AWS tools & services

We encourage you to apply even if you don’t tick all the boxes!

Info-Tech Research Group of companies is an equal opportunity employer committed to diversity and inclusion and does not discriminate on the basis of any legally protected status or characteristic including Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran and are pleased to consider all qualified applicants. To that end, upon request, ITRG will ensure, to the extent possible, that accommodation be made available to applicants throughout the recruitment and hiring process.