Skip to content
mimi

Advanced Analytics Machine Learning Role

Definity

London · On-site Full-time Mid Level 1w ago

About the role

About

Shape innovative ML solutions as a Machine Learning Engineering Professional at our Waterloo, Ontario location, focusing on customer experience and business growth. Collaborate closely with cross-functional teams to ensure seamless product integration.

You will be instrumental in the deployment and operationalization of machine learning products, specializing in both batch and real-time environments. A university degree in a relevant discipline and over four years of industry experience are essential for this role. Your ability to monitor and maintain models will be key to sustaining their value to users and stakeholders.

Join a dynamic team to enhance customer journeys using machine learning technology.

Responsibilities

  • Collaborate with stakeholders for ML product success
  • Develop code with cloud-native technologies
  • Maintain best practices for model monitoring
  • Drive innovative ideas for process improvement
  • Communicate effectively across technical and business teams

Requirements

  • Minimum 4 years of ML pipeline development experience
  • Proficient in Docker, Kubernetes, and CI/CD practices
  • Strong communicator for business and technical audiences
  • Knowledge of Google Cloud Platform (GCP) is a plus
  • Relevant degree in Software Engineering or similar

Skills

CI/CDDockerKubernetesMachine Learning

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free