Business Intelligence

Senior Machine Learning Engineer, DevOps

Req Id: 252191 

 

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.
 

If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team. 
 

Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
 

 

We are looking for a Senior Machine Learning Engineer, DevOps who has experience productionizing, maintaining, and optimizing cloud-native applications. The successful candidate will help us define, build, and maintain a machine-learning-as-a-service environment at Bell. Our mission is to enable the customer operations team at Bell to iterate quickly on hypotheses, scale their experiments to enterprise datasets, and efficiently productionize highly-available, fault-tolerant machine learning applications.  In this role you will work cross-functionally with data scientists and data engineers across the organization to enable Bell to use machine learning to drive business decisions.

 

Key responsibilities

  • Maintain and optimize infrastructure-as-code to apply machine learning methods in production
  • Act as a subject matter expert as it pertains to application logs, health monitoring, notifications, and automated-DevOps
  • Maintain and enhance CI/CD pipelines taking into accounting testing, documentation, version tracking, and deployments
  • Build, automate, and maintain machine learning dependencies and artifact pipelines
  • Collaborate with product teams to accelerate productivity and maintain product robustness

 
Required competencies

  • You have experience delivering and maintaining “software-as-a-service” applications via cloud-native architecture
  • Experience with the following stack or similar is a plus: git/Docker/Kubernetes/REST/Kafka/Python/Java/ELK/Grafana
  • You are organized and agile; comfortable with ambiguity and able to prioritize and troubleshoot a variety of technical issues
  • You are familiar with CI/CD pipelines and best practices
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation
  • You have development experience with at least one general programming language (e.g. Python, C/C++, Java)
  • You have experience with data processing and storage frameworks like Hadoop, Spark, Redis, HBase, PostgreSQL
  • You are self-motivated and can demonstrate enthusiasm via personal projects, Kaggle competitions, publications, or presentations at meetups/conferences
  • Skilled communicator with a proven record of leading projects across disciplines

#LI-ML1

 

Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec. 

 

Additional Information:

Position Type: Management 
Job Status: Regular - Full Time 
Job Location: Canada : Ontario : Don Mills || Canada : Ontario : Toronto || Canada : Quebec : Montreal 
Application Deadline: 05/25/2020 

 

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

 

At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

 

Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

 

Created: CanadaON, Toronto