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Machine Learning/AI Manager

Trillium Talent Resource

This is a Contract position in Toronto, ON posted May 17, 2018.

Job Description

Are you passionate about technology?

Do you love building new things? Do you want to lead a team that is leading the industry in Data Science and Machine Learning? If you answered YES, then we have the right opportunity for you!

The ideal candidate must have strong technical and management background and be very passionate about building and leading high impact teams.

You enjoy working in a multicultural international organization and you have a passion for delivering high quality leading edge software applications. You have extensive experience with the Agile methodology and understand that you are responsible for setting the tone and tempo of your team

– as such, you lead by example.

Responsibilities include:
Manage overall software development life-cycle
Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments
Promote a culture of innovation, accountability, responsibility & sense of urgency
Collaborate with your peers and technical leads to develop and implement innovative solutions
Hire, coach, and mentor your team on an ongoing basis
Manage Developers in an Agile environment, encourage a collaborative approach, guide the work of the teams.
Offer hands-on assistance with work through familiarity with the tools, technologies and processes used in software development and QA.

Required Technical and Professional Expertise

At least 3 years as a Software Development Manager in an Agile environment, preferably in the Data Science related industry
Knowledge of Machine Learning and AI an asset
Strong relationship building skills.
You are approachable and will be recognized as a leader by earning your recognition.
Excellent written and verbal communication skills. You can clearly articulate your ideas
Passion for innovation.
At least 3 years with Full stack development: Node.js, ReactJS, AngularJS, Shell script, Object-oriented programing languages (Java, C++, C#), GIT Source Control

Preferred Tech and Prof Experience
Docker, Kubernetes, Linux OS, Mac OS, CICD Pipeline tooling, e.g., Jenkins or Travis, Maven, Machine Learning /Data Science, Python, R, Scala