Senior Developer, Machine Learning (French Services) (Telework)

CBC/Radio-Canada • Montreal, QC

4d • Remote

About The Position

CBC/Radio-Canada Digital is a key part of our present and our future. CBC/Radio-Canada’s strategy is focused on becoming the first organization to provide a digital platform that delivers unique content and experiences for our audiences, by telling stories that reflect who they are. Customizing our digital services is core to that strategy. We want to create personal, relevant and engaging experiences that Canadians expect, with our goal being to make sure all Canadians see themselves reflected in our digital services while connecting them to the many communities and voices that make our country great. Data science, machine learning and deep learning are the foundations of this customization initiative. If you’re passionate about all things data, from implementation to leveraging, we want to hear from you! There is an opportunity for this to be a full-time teleworking position. Work arrangements will be discussed with hiring managers per departmental guidelines.

Requirements

• Graduate degree in a relevant field (engineering, computer science, etc.) or equivalent professional experience
• Demonstrated professional experience developing machine learning models
• Experience working with programming languages such as Python, R or Scala
• Experience with ML libraries and frameworks such as TensorFlow, Keras and PyTorch
• Knowledge of data pre-processing techniques and ML algorithms
• Experience working with Agile (Scrum/Kanban) processes
• Experience with database management systems (SQL, NoSQL)
• Comfort analyzing complex data from various sources
• Passion for empirical research using data to answer challenging questions
• Excellent spoken and written French; English an asset (as you will be required to work with bilingual teams) and willingness to develop your language skills desirable

Nice To Haves

• Microsoft Azure certification
• Experience working with programming languages such as C#, TypeScript and NodeJS
• Experience with other Cloud platforms (AWS, Google Cloud)
• Experience with continuous integration / continuous delivery (CI/CD) tools
• Experience with natural language processing (NLP) or computer vision

Responsibilities

• Design, develop and deploy machine learning models with Microsoft Azure Machine Learning.
• Work with the data science and engineering teams to incorporate ML solutions into existing apps.
• Analyze and process large data sets to extract relevant insights.
• Draft technical documents and performance reports for stakeholders.
• Act as a consultant to product managers looking to incorporate predictive components into their products.
• Provide practical technical expertise, advice and support to the Business Intelligence team for their advanced modelling needs.
• Perform data exploration to identify what variables (features) to use in our various models.
• Identify gaps in data collection and work with the relevant teams to gather that information.
• Program the extraction, standardization and transformation of our reliable data sources, and confirm the integrity of those sources.
• Develop and evolve production models following an iterative approach.
• Help evolve our current prediction architecture based partially on Microsoft Azure ML and Databricks.
• Synthesize and explain technological innovations so they are understandable to non-experts and accessible across the Corporation.

Benefits

• Hybrid work environment with flexible work schedules, allowing you to prioritize yourself, your family and your work
• Competitive benefits and compensation
• Opportunities to work with cutting-edge technology
• Opportunities for continued learning and professional development
• Opportunities to become a member of our Employee Resource Groups
• Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent
• A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected
• An environment that favours experimentation and an iterative approach in order to achieve the highest form of technical innovation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior