Machine Learning Operations Professional (Contract)

Definity
Montreal, QUE, Canada
59.4K $-118.1K $ / an
Temporaire
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Job Description

The Advanced Analytics team at Definity is looking for an individual with a passion and expertise in Machine Learning Operationalization (MLOps) .

As an MLOps Analyst reporting to the Manager, Advanced Analytics, you will be responsible for supporting the operationalization of complex analytical solutions, and the monitoring & improvement of the underlying machine learning models, so that we sustain the benefits of the solutions to the organization and to our customers.

This is a pipeline posting and does not represent any particular job opening. By applying to this pipeline posting, you will be added to our talent directory, your qualifications reviewed and contacted upon an approved requisition.

This is a contract role for 6 months.

What can you expect in this role?

  • You will operationalize Analytical solutions (API’s, batch processes, analytical applications), and be able to contribute to the development of new solutions and improvement of existing solutions.
  • You will bring new ideas to contribute to innovation and process improvement.
  • You will work with Data Scientists within our team, our business stakeholders and other technical teams to deliver Analytical solutions to the business we believe strongly in working together to deliver business value versus throwing a model over the fence to be operationalized.

What do you bring to this role?

  • University degree in Software Engineering, Computer Science, Data Science or a related discipline
  • 2-4 years in developing and operationalizing analytical solutions
  • Highly analytical, demonstrated ability to develop creative solutions to complex problems
  • Strong proficiency with R or Python
  • Experience with model drift monitoring and refresh automation
  • Experience with Google Cloud for MLOps is an asset

Salary Range is $59,400 - $118,100 .

About Us

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.

We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting : .

Background checks

This role requires successful clearance of a background check (including criminal checks and leadership references).

Il y a 28 jours
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