Machine Learning Engineer

Québec City, Canada
Full-time

We’re looking for a Machine Learning Engineer with hands-on expertise in the design, implementation, DevOps, and management of a machine learning framework.

You will work with other technical teams to understand requirements and build a framework to load and prepare a dataset, train, validate and generate reports. You are an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from databases to our training framework and into technical validation reports. You possess excellent communication skills and strive in a fast-paced and ever-changing environment. Above all, you are passionate about machine learning and how to wield it to meet technical requirements and empower other parts of the business.

Responsibilities

  • Architect, design, build and maintain our machine learning infrastructure;
  • Implement machine learning algorithms, tools and custom solutions to empower the engineering teams;
  • Design training reports to validate models, detect bias and dataset inconsistencies;
  • Innovate and keep yourself on the cutting edge of machine learning and artificial intelligence.

Minimum qualifications

  • BS or MS in computer science, computer engineering, software engineering, or any other equivalent field;
  • 2-5 years of experience in machine learning, or demonstrated experience;
  • Experience in natural language understanding, computer vision, machine learning, data mining, deep learning and/or artificial intelligence;
  • Strong programming skills in one or more of the following: Python, C/C++, Java, Scala, R;
  • SQL, NoSQL and data architecture skills;
  • Excellent analytical skills and an ability to explore complex data sets and extract insights;
  • Experience applying machine learning to business challenges;
  • Enthusiasm to work in a fast-paced engineering team.

Desirable assets

  • Experience with training frameworks like TensorFlow;
  • Hands-on experience with large-scale data processing;
  • Experience leveraging cloud platforms like AWS to automate, process and distribute tasks.

Technical environment

Python, TensorFlow, SQL, NoSQL, Linux, AWS.