Job Description

Position Title: Senior Developer, Machine Learning, Recommender Systems (RecSys) (French Services) (Telework)Status of Employment: Contractee Long-Term (Fixed Term)Position Language Requirement: FrenchLanguage Skills: French (Reading), French (Speaking), French (Writing)Work at CBC/Radio-CanadaAt 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.Unposting Date: 2024-08-08 11:59 PMWhy join CBC/Radio-CanadaDigital is a key part of our present and our future. CBC/Radio-Canada\xe2\x80\x99s 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\xe2\x80\x99re 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 roleAs 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.
• Explore and analyze large datasets to identify trends and patterns that could be used to improve the performance of recommender systems.
• Work with the Data Science and Engineering teams to incorporate ML solutions into existing apps.
• Analyze and process large datasets 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.

Perks you can look forward to:

• 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

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 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

Additional assets:

• 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

Please note this is a 12-month contract position, renewable annually.This regular position is not a consulting assignment but a long-term opportunity with attractive CBC/Radio-Canada employee benefits.Candidates may be subject to skills and knowledge testing.We thank all applicants for their interest, but only candidates selected for an interview will be contacted.CBC/Radio-Canada is committed to being a leader in reflecting our country\xe2\x80\x99s diversity. That\xe2\x80\x99s because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country. That\xe2\x80\x99s why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada\xe2\x80\x99s public broadcaster. For more information, visit the of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to .You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our . All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on . In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest.Primary Location: 1000, Rue Papineau, Montreal, Quebec, H2K 0C2Number of Openings: 1Work Schedule: Full time

CBC/Radio-Canada