Join Us
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.
The position is opened for the Intelligent Systems & ML Operations from the Digital Network Transformation in VODAFONE Group, reporting to the AI Chapter Lead.
What you’ll do
- 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.
Who you are
- 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.
Not a perfect fit?
Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.
What's in it for you
- Hybrid Work Model - Flexible hybrid work model with 8-10 in-office days per month, managed by team leaders;
- Vodafone Products and Services - Employees get a mobile phone, free communication plan, data card, and various discounts on services and products;
- Recognition - Recognition programs for innovative, creative, high-potential employees and exemplary behaviors;
- Health and Well-being - Well-being Program offers nutrition and psychological consultations, webinars, workshops, and discounts on various services and products;
- Learning - Access to Communities of Practice and a customizable digital training platform with high-quality content (namely Harvard Business Publishing, Skillsoft and Speexx);
- Local and International Mobility - Internal recruitment with local and international rotation opportunities across departments and roles.
Who we are
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
Together we can.