This job listing expired on Feb 20, 2024
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The ML Ops Specialist implements, maintains and evolves the platform to enable the development and deployment of machine learning models for the Content Creation Technology Group (CCTG). He/she works closely and collaboratively with DevOps, developers and the data scientist.

The ML Ops Specialist provides solutions that enable:

  • Model production (training)

  • Setting up the software environment (any tool enabling the models to be used)

  • Optimize infrastructure and production deployment (collaboration with Ops and developers)

  • Improve quality (quality assurance)

The main and usual duties of this job are:

  • Deploy and operationalize ML models;

  • Contribute to the industrialization of products using Generative AI and/or Machine learning;

  • Set up software infrastructure;

  • Set up model validation;

  • Continue to develop research;

  • Contribute to the creation of new models, with a focus on their production;

  • Contribute to the quality of models and the data generated from them (e.g., set up a QA-friendly environment);

  • Identify problems and determine quantitative approaches and methods to develop solutions;

  • Conduct research to identify new ways of modeling and predicting player behavior, and design tests that answer targeted questions;

  • Develop problem-solving tools;

  • Design and manage proofs of concept for AI and prediction/prescription projects;

  • Document and define projects including data collection and processing, state-of-the-art approaches, final algorithm, detailed results and analytical criteria;

  • Collaborate with colleagues (developers, Dev Ops, Research Scientists) and managers internally and externally to share relevant complex information;

  • Contribute to the identification of approaches and the development of new or improved technical tools;

  • Mentor less experienced colleagues;

  • Perform all other related tasks.

Qualifications

Education:

  • Bachelor's or Master's degree in computer science, computer or software engineering or equivalent.

Relevant experience:

  • 5 to 8 years of complex experience and in-depth expertise related to the position.

Skills and knowledge:

  • Experience with ML frameworks;

  • Proven knowledge of ML/AI platforms and workflows;

  • Ability to use and develop proven machine learning algorithms and related methods;

  • Ability to configure, use and develop data management systems;

  • Ability to understand the tools used by data scientists and experience in software development and test automation;

  • Software engineering skills;

  • Knowledge of distributed computing to ensure model learning;

  • Passion for leveraging data science to solve problems;

  • Ability to assess problems quickly, both qualitatively and quantitatively;

  • Team player with excellent organizational, interpersonal and communication skills;

  • Business/corporate values orientation;

  • Bilingualism (French-English).