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Machine Learning Engineer – Mobile/Cloud

Michael Page CA

This is a Contract position in Toronto, ON posted September 14, 2019.

MLE’s bridge the gaps between data scientists and data engineers.

They need to speak the language of both.

They bring and consolidate new engineering knowledge into the data science team.

You will work on state-of-the-art methods for both supervised and unsupervised learning, including the latest deep learning algorithms.

You will work with big data (GPS fixes and sensors) from hundreds of thousands of users.

You will optimize and deploy training and inference pipelines for predictions of low events/concepts (type of transports, home/work location) and human behavior (commuting, sporting, shopping).

You will create tools to improve development of machine learning pipelines.

You will help the team to improve upon current methods and models, both from a performance and architecture point of view.

With a practical mindset you will bring these models into a production environment.

Your software development experience will allow you to closely collaborate with our Data Engineering team to improve our models and data flows and push them through our release process.

Desired skills and expertise You have a Masters degree in computer science or a related field.

You have experience in software engineering and deployment to production, preferably on Mobile platforms (for MLE
– Mobile role).

You have experience with Python.

You have experience in mobile programming, either on Android or iOS (Mobile MLE) You know about the constraints involved in developing and deploying machine learning models on mobile platforms (Mobile MLE) You have a deep understanding of machine learning concepts such as clustering, supervised vs unsupervised learning.

You have knowledge in signal processing You can use big data tools such as Spark for development.

You can work independently and take matters into your own hands.

You have the ability to critically interpret output quality based on quantitative analysis and tooling.

Bonus Experience in processing of sensor data from mobile devices or wearables.

Full-stack engineering knowledge (JS, Rest, APIs…) Our client is one of the leading organizations in the Data science and IOT space.

It is global organization, and is growing exponentially since past few years.

To fuel its growth further, it’s looking for 2 Machine Learning engineers
– one for Mobile and one for Cloud, based out of its office in Toronto, Canada.

In addition to a competitive package, you will be a part of one of the most renowned organizations