Director of MLOps at Manulife leading AI deployments and scalable solutions in Canada. Architecting MLOps capabilities to ensure governance and reusable AI solutions across segments.
About the role
- Co-op Machine Learning Software Engineer working on machine learning solutions at RBC Borealis. Joining a team focused on data, collaboration, and solving challenging problems in AI and technology.
Responsibilities
- Building machine learning-based software solutions for solving important problems
- Collaborating with research and business teams to converge on the best solutions
- Optimizing algorithms and prototypical solutions for efficient implementation
- Extending prototypes into fully functional, polished solutions ready for internal and/or external use
- Supporting projects with thorough documentation of usage, design decisions and capabilities
- Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.)
Requirements
- Are working on a bachelors or masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent
- Have some software development experience (including co-op and internships)
- Have experience with writing software in one of the major languages such as C++, C#, Java, Python
- Have familiarity with the Unix command line and bash scripting
- Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset
- Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset
Benefits
- Ability to make a difference and lasting impact from a local-to-global scale
- Become part of a team that thinks progressively and works collaboratively
- We care about seeing each other reach full potential
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