Req Id: 256871
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 Machine Learning Engineer 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.
Understand the business objectives and develop models that help to achieve them
Influencing the roadmap and decisions made by the ML team and participate to the projects development from proposal to production
Contribute to the delivery of ML models including models/services development and production monitoring/maintenance.
Research and implement best practices for improving and scaling ML operations.
Collaborate with data, product and data science teams to accelerate productivity and maintain products robustness
You are a skilled communicator with a proven ability to communicate results effectively, both verbally and visually.
You are organized and agile; comfortable with ambiguity and able to prioritize and troubleshoot a variety of technical issues.
You have experience with one or more of the following: Natural Language Processing, text understanding, classification, recommendation systems, ranking systems or similar.
You have a good knowledge of Machine Learning and Deep Learning as well as proven practical experience with ML/DL libraries, like Keras/TensorFlow, PyTorch, scikit-learn, xgboost, etc.
You have development experience with the Python scripting language and ideally one general programming language (e.g. C/C++, Java)
You have experience with data processing and storage frameworks like Hadoop, Spark, Redis, HBase, PostgreSQL (or equivalent technologies)
You are able to work in a Linux environment
You have working knowledge of GIT
You have experience with Docker containerization
You have experience with RESTful API and webservers
You have experience with GPU computing
You have experience with Kubernetes/Openshift orchestration
Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.
Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Don Mills || Canada : Ontario : Toronto || Canada : Quebec : Montreal
Application Deadline: 08/25/2020
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 firstname.lastname@example.org to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at email@example.com.
Created: Canada, ON, Toronto
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