Role overview
At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
The Machine Learning Engineer manages Machine Learning deployments and governs processes to automate the CI/CD pipeline that re-trains and evaluates Machine Learning models. Designs Machine Learning systems and solutions to automatically deploy models into production by researching and implementing the appropriate tools, such as Git, Docker and Terraform. Knowledge of GitHub Actions and cloud services, where Google Cloud Platform is preferred.
The Machine Learning Engineer should be able to design solutions on the GCP environment using Python. It is expected to have experience in querying databases.Develops solutions together in an agile team of data engineers, software developers and system specialists, working in a SAFE Agile framework.
What you'll work on
- Designs Machine Learning systems and solutions using Git, Docker, Terraform and Python;
- Deliver NOC automation as part of Agile teams in Agile methodology;
- Contribute to planning and development of our technology “and business”;
- Ability to share best practices and code standards to the team;
- Keep up to date in terms of current (and future) technologic trends;
- Participate in various types of interviews, meetings or workshops to understand the network operation operating model, requirements and to develop automation solutions;
- Design, configure, test, deploy and integrate new, modified and/or enhanced analytics pipelines;
- Participate in development process, including constructing and maintaining efficient, reusable, and reliable configurations within analytics pipelines software and tools;
- Participate in testing activities, including integration testing, end-to-end (business process) testing and user acceptance testing;
- Participate in the problem identification/error resolution process, including tracking, repairing, and reporting defects;
- Provide technical direction on design considerations for performance, scalability, availability, maintainability, disaster recovery and uptime;
- Create and maintains technical design documentation to support development;
- Create test scripts and supports Quality Assurance activities as needed;
- Design business ideas and use cases and estimate business metrics of the expected effect;
- Represent the user perspective of OSS platforms over architecture and technology.
What we're looking for
- Master’s or bachelor’s degree in Computer Science, Computer Engineering, IT, MIS or a related Analytical field.
- Knowledge of Python;
- 2+ years of work experience as Machine Learning Engineer in an Agile environment;
- Experience using CICD services like GitHub Actions or Google Cloud Build;
- Experience in using cloud services, such as Google Cloud Platform;
- Knowledge of CI/CD process and tools;
- Proficient in one or more programming languages, such as Python;
- Strong knowledge of Infrastructure as Code (like Terraform);
- Strong understanding of distributed systems and databases;
- Knowledge of command-line Linux (Red Hat enterprise);
- Good analytical skills (listening, questioning, challenging etc.);
- Analytical thinker, familiar with complex technologies, programming languages;
- Fluency in English.