Machine Learning Software Engineer, 4-8 Months

Role Overview

• 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;

Tech Stack

• Hadoop
• Java
• Keras
• NoSQL
• Python
• PyTorch
• Spark
• SQL
• Tensorflow
• Unix

Benefits

• Become part of a team that thinks progressively and works collaboratively.
• Ability to make a difference and lasting impact from a local-to-global scale.