Python Team Lead

4 months ago

Montréal, Canada Explorance Full time

(En français ci-dessous)

Join a Montreal headquarter company that helps organizations around the world create a personalized journey of impact and fulfillment for their people. Explorance offers innovative People Insight Solutions because we believe that each experience matters.

Explorance is a rapidly growing software company recognized for its unique workplace culture. We strive to be the best we can for our people, our customers, and the community. Currently, we are looking for a Python Team Lead who always strives for software excellence and continuous improvement.

**What is MLOps?**

MLOps at Explorance lives at the intersection of data engineering, machine learning and devops. It operationalize and productize data collection and model deployment as well as maintenance of machine learning models.

**Responsibilities**
- End-to-end supervision of the model life cycle
- End point deployment and monitoring (eventually)
- Backend development for data collection and data labelling
- Interact with other teams to harmonize the ML integration with other products
- Support DataOps and research
- Productize research
- Building secure and reusable code and libraries
- Maintain high standards of software quality within your team by establishing good practices and habits (e.g. unit tests)
- Code documentation

**As a team lead, what more do I have to do?**
- Manage the MLOps team priorities
- Stay up to date with the best practices and enforce them
- Hands-on with junior team members
- Manage the cloud infrastructure
- Close collaboration with the DevOps team

**What skills will I need?**
- Programing in Python (C# a plus)
- Experience with:

- Terraform and Azure
- Microsoft SQL Server
- RESTful API
- Strong software engineering background
- Some knowledge of machine learning, both classic and modern techniques
- Verbal and written communication skills in both French and English for use in communication with global offices
- Good communication skills

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