Unlock the Power of AI and Machine Learning
A highly skilled Machine Learning Ops Engineer is required to lead the development and maintenance of our analytics and machine learning platform in Google Cloud Platform.
Key Responsibilities:
* Design, develop, and deploy scalable infrastructure modules and reusable components for AI/Analytics applications or architecture templates.
* Industrialize, maintain and improve AI and analytics solutions using Google Cloud Platform.
* Ensure high reliability, security, and scalability of the infrastructure.
* Collaborate with Analytics Engineers, Data Scientists, Infrastructure & Data Engineers for project delivery.
Requirements:
* Bachelor's or Master's degree in Engineering, Data Science, or related fields, or equivalent professional experience.
* Proficient in Python programming and SQL (5+ years of experience).
* Practical experience in MLOPs (3-5 years or more).
* Professional experience in Google Cloud Platform (2+ years).
* Knowledge of infrastructure as a code, ideally Terraform (1+ year).
* Familiarity with Data Engineering principles and REST API.
* Strong communication skills and ability to collaborate in multicultural environments.
* A dynamic, innovative, and pragmatic mindset to problem-solving, and an ability to think critically and objectively.
About This Role:
This is an excellent opportunity to join a leader in luxury digital distribution as a builder of excellence for a transformational practice. The business impact is significant, and the AI use cases and diversity of stakeholders will make it rich, fast-paced, multicultural, and fun for the right candidate.
Your Journey with Us:
We are looking for a talented individual who can contribute to our team's success. If your application is selected, we will reach out to you for an informal introductory call. The next step would be interviews with the Head of Data platform, Data Engineering team lead, and our HR Business Partner.