Machine Learning Engineer (Toronto, ON)

As a Machine Learning Engineer I at TRAFFIX you will work with your colleagues to support the productization of data models. This involves taking models created by our data science team and assisting in producing viable azure services which can orchestrate and achieve complex calculations utilizing these models as well as your own solutions tandem. Our team is still young and lean, this means that your solutions will likely involve end to end work thus involving database work, function app buildout, and light infrastructuring + solutioning.

Responsibilities

• Work with senior team members to ingest product development requirements from cross-functional teams (engineering, product, business)
• Elicit needs, and translate to workable development tasks
• Hypothesize approaches and solutions to potential product needs
• Conduct runtime analysis and solution proofing to plan + design solutions
• Work with colleagues to create, deploy, and manage software services using Azure-based technologies
• Create detailed technical solution designs + documentation for technical projects
• Develop function-based solutions using backend + solution languages such as Python and C#
• Develop software that integrates and ties together data products from our data team
• Contribute to data model products and heuristic approaches
• Ensure use of best practices, reuse of core components and common design paradigms for developments
• Oversee and/or implement UAT testing of solutions.
• Coordinate with colleagues on releases and implementation of products

• Bachelor’s Degree in Computer Science, Mathematics, Statistics or equivalent combination of education and experience.
• Strong foundation in mathematics, statistic, and software design
• Knowledge in Data models, data model components and integrating with them
• High proficiency in API development, Deployment-ready functional development, enterprise level software solutioning
• High proficiency in solutioning, critical thought process
• Familiarity performance and solution proofing (Runtime analysis)
• Experience working with enterprise platforms (Azure, AWS, GCP) Azure strongly preferred
• Very Strong knowledge in Python
• High proficiency in SQL
• Knowledge in C# highly desired
• Excellent written and verbal communication skills.
• Excellent Critical Thinking skills to tackle complex data issues
• Knowledge in version control (git, CI/CD)

• Logistics industry experience is preferred but not required.
• Experience in Puppeteer or similar web crawling tools is preferred but not required.
• Experience in working with large datasets (structured & unstructured)

Department: Technology

This is a full time position