Get Hired Faster With COMPANY_NAME!

Don't you ever think you landed here by any accident, You are here because you are searching for something bigger. You know what?

A better Job
A better Future
A better Knowledge
A better Paycheck
A greater Path to walk on.

And COMPANY_NAME is here to give you exactly what you've been missing for so long. The reality is that most job seekers chase job postings, but successful job seekers attract job offers by chasing the accurate information. Therefore, that's the shift COMPANY_NAME is going to help you make. Here are the top 10 ideas to up-skill yourself, so lean in to begin:

1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process

COMPANY_NAME is a career-changing advantage that most seekers never get access to. Imagine...

Instead of applying for job after job and still not getting any callbacks, you suddenly bump into a tool that can do the heavy lifting for you.
Instead of wondering, "What do employers actually want?", you are getting insights straight from the employer's desk.
Instead of hoping your resume gets noticed, it’s kept on the table of decision-makers who are hiring right now.

That's the difference COMPANY_NAME makes. Our tools will let you reach employers directly, which automatically speeds up your hiring process.

2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!

How does COMPANY_NAME make this possible?

On COMPANY_NAME, you get notified for roles aligned with your profile right from the start. When an employer posts a role that matches your qualifications and skills, you’ll know first. When you apply early, your chances of getting noticed and shortlisted increase by 20%.

COMPANY_NAME also offers direct employer responses—no more waiting for weeks. Here you engage with hiring managers who are actively looking for candidates.

When all these features combine in one place, you move from your first match to your first interview within days. And ultimately, from application to offer—all within 15 to 30 days!

3: The Type of Resume You Need to Get Priority Placement

With COMPANY_NAME, you don’t just need a resume—you need a strategy. A system that pushes your name to the right tables. We’ll show you exactly how the most successful candidates take initiative and get noticed.

4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME

The job market isn’t one-size-fits-all—and your career shouldn’t be either. COMPANY_NAME gives you access to a wide range of opportunities including full-time, part-time, and freelancing roles all in one place.

5: COMPANY_NAME Helps You Grow Your Career

COMPANY_NAME provides insights, tools, and role-matching that help you find the right direction, the right skills, and the opportunities aligned with your ambition.

6: The Easiest Way To Find A Job

COMPANY_NAME cuts the noise, the endless scrolling, and the confusion. With accurate matches, direct employer connection, and real-time updates, you get a clear and simple path from application to interview.

7: Find Roles That Offer Growth, Culture & Benefits

COMPANY_NAME helps you find roles where you grow, feel supported, and thrive—not just survive. With us, you discover opportunities that elevate your professional life.

8: Get Support With Resume, Interviews & Career Planning

COMPANY_NAME provides expert guidance on resumes, interviews, and planning so employers instantly recognize your strengths and value.

9: Your Future Starts Today

COMPANY_NAME gives you everything you need—tools, guidance, and opportunities—to step forward confidently and begin a new chapter where your potential is seen and supported.

10: Get Hired Within 15 to 30 Days With COMPANY_NAME

COMPANY_NAME follows a smart, strategic, and proven approach that gets your profile noticed faster and moves you toward interviews and offers within 15 to 30 days.

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

Position Title: Senior Developer, Machine Learning (French Services) (Telework)Status of Employment:Contractee Long-Term (Durée déterminée)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: 2026-06-11 11:59 PM<h3></h3>Why join CBC/Radio-CanadaDigital 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 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:<ul><li>Design, develop and deploy machine learning models with Microsoft Azure Machine Learning.</li><li>Work with the data science and engineering teams to incorporate ML solutions into existing apps.</li><li>Analyze and process large data sets to extract relevant insights.</li><li>Draft technical documents and performance reports for stakeholders.</li><li>Act as a consultant to product managers looking to incorporate predictive components into their products.</li><li>Provide practical technical expertise, advice and support to the Business Intelligence team for their advanced modelling needs.</li><li>Perform data exploration to identify what variables (features) to use in our various models.</li><li>Identify gaps in data collection and work with the relevant teams to gather that information.</li><li>Program the extraction, standardization and transformation of our reliable data sources, and confirm the integrity of those sources.</li><li>Develop and evolve production models following an iterative approach.</li><li>Help evolve our current prediction architecture based partially on Microsoft Azure ML and Databricks.</li><li>Synthesize and explain technological innovations so they are understandable to non-experts and accessible across the Corporation.</li></ul>Required skills:<ul><li>Graduate degree in a relevant field (engineering, computer science, etc.) or equivalent professional experience</li><li>Demonstrated professional experience developing machine learning models</li><li>Experience working with programming languages such as Python, R or Scala</li><li>Experience with ML libraries and frameworks such as TensorFlow, Keras and PyTorch</li><li>Knowledge of data pre-processing techniques and ML algorithms</li><li>Experience working with Agile (Scrum/Kanban) processes</li><li>Experience with database management systems (SQL, NoSQL)</li><li>Comfort analyzing complex data from various sources</li><li>Passion for empirical research using data to answer challenging questions</li><li>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</li></ul>Additional assets:<ul><li>Microsoft Azure certification</li><li>Experience working with programming languages such as C#, TypeScript and NodeJS</li><li>Experience with other Cloud platforms (AWS, Google Cloud)</li><li>Experience with continuous integration / continuous delivery (CI/CD) tools</li><li>Experience with natural language processing (NLP) or computer vision</li></ul>Perks you can look forward to:<ul><li>Hybrid work environment with flexible work schedules, allowing you to prioritize yourself, your family and your work</li><li>Competitive benefits and compensation</li><li>Opportunities to work with cutting-edge technology</li><li>Opportunities for continued learning and professional development</li><li>Opportunities to become a member of our Employee Resource Groups</li><li>Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent</li><li>A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected</li><li>An environment that favours experimentation and an iterative approach in order to achieve the highest form of technical innovation</li></ul>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.As part of our recruitment process, candidates who advance to the nextstep will be asked to complete a background check. This includes: <ul><li>A mandatory Criminal record check. </li><li>Other background checks may be conducted based on the operational requirements of the position.</li></ul> 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 <a href="http://cbc.radio-canada.ca/en/working-with-us/jobs/diversity-inclusion-cbc-rc" target="_blank" rel="noopener noreferrer">Diversity and Inclusion section</a> 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 <a href="mailto:recruitment@cbc.ca" target="_blank" rel="noopener noreferrer">recruitment@cbc.ca</a>. You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our <a href="http://cbc.radio-canada.ca/en/vision/governance/corporate-policies/values-ethics/conduct" target="_blank" rel="noopener noreferrer">corporate website</a>. All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on <a href="http://cbc.radio-canada.ca/en/vision/governance/corporate-policies/human-resources/conflicts" target="_blank" rel="noopener noreferrer">conflicts of interest</a>. 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

Back to blog