Senior Developer, Machine Learning (French Services) (Telework)
Radio-Canada
About the role
Work at CBC/Radio-Canada
At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.
Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.
Why join 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.
Your role
As a Machine Learning Developer, you will work collaboratively with your product manager to design, develop and deploy machine learning solutions.
You will leverage your expertise to, among other things, predict what content is most likely to interest our users as well as identify the users most at risk of churn.
CBC/Radio-Canada can count on high traffic, representing an engaging challenge for anyone striving to shave milliseconds off a prediction.
Your key 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.
Required skills:
- 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 Tensor Flow, Keras and Py Torch
- 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…
Skills
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