Job Information
CBC/Radio-Canada Senior AI Developer, Python & C# (French Services) (Telework) in Quebec, Quebec
Position Title:
Senior AI Developer, Python & C# (French Services) (Telework)
Status of Employment:
Contractee Long-Term (Fixed Term)
Position Language Requirement:
French
Language Skills:
French (Reading), French (Speaking), French (Writing)
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.
Unposting Date:
2024-10-02 11:59 PM
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
We are looking for a talented backend developer with expertise in BigData and Machine Learning to join our dynamic team. You will be responsible for designing, developing, and industrializing data pipelines, as well as deploying AI models into production.
Your main responsibilities:
Develop and maintain applications and APIs for managing and processing large-scale data.
Collaborate with Data and Machine Learning teams to industrialize AI models.
Assist Machine Learning developers in designing and implementing AI pipelines and applications.
Deploy AI models into production on cloud infrastructures (Azure, Databricks).
Ensure the performance, scalability, and security of deployed solutions.
Work in collaboration with multidisciplinary teams (Data Engineers, Data Scientists, Machine Learning Engineers).
Write technical documentation and performance reports for stakeholders.
Provide practical technical expertise, advice, and support to business intelligence team members for their advanced modeling needs.
Identify data collection gaps and collaborate with responsible teams to gather the necessary information.
Program the extraction, normalization, and transformation of data from our trusted sources, and validate the integrity of these sources.
Develop and iterate production models in a continuous improvement approach.
Contribute to the evolution of our current prediction architecture, partially based on Microsoft Azure ML and Databricks.
Synthesize and communicate technological innovations to simplify their understanding and accessibility within the company.
Required skills:
Hold an advanced degree in a relevant field (engineering, computer science, etc.) or equivalent professional experience
Proficient in development with the following languages: Python, C#, and TypeScript
Significant experience in data engineering (BigData) and large-scale data processing pipelines
Knowledge of data preprocessing techniques and ML algorithms
Experience working in Agile processes (Scrum/Kanban)
Experience with database management systems (SQL, NoSQL)
Comfortable with analyzing complex data from various sources
Passion for empirical research to solve challenging questions using data
Excellent oral and written French skills. English is an asset; you will be working with bilingual teams, and a willingness to develop your language skills will be appreciated.
Additional assets:
Microsoft Azure certification
Expertise in cloud tools and services, particularly Azure ML and Databricks
Experience with other cloud platforms (AWS, Google Cloud)
Knowledge of continuous integration and continuous deployment (CI/CD) tools
Experience in natural language processing (NLP) or computer vision
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
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’s diversity. That’s 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’s 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’s public broadcaster. For more information, visit the Diversity and Inclusion section (http://cbc.radio-canada.ca/en/working-with-us/jobs/diversity-inclusion-cbc-rc) 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 recruitment@cbc.ca .
You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our corporate website (http://cbc.radio-canada.ca/en/vision/governance/corporate-policies/values-ethics/conduct) . All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on conflicts of interest (http://cbc.radio-canada.ca/en/vision/governance/corporate-policies/human-resources/conflicts) . 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 0C2
Number of Openings:
1
Work Schedule:
Full time
At CBC/Radio-Canada (http://cbc.radio-canada.ca/en) , 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.