Engineer 4 - Machine Learning

• Proven 5+ years of commercial experience in creating, testing, deploying, monitoring and maintaining machine learning pipelines
• Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling, hyperparameter tuning, experiment tracking and performance monitoring.
• Expertise in correlation analysis, classification / clustering techniques, anomaly detection and time series forecasting using either traditional or deep learning ML approaches
• Strong Python background with the ability to write clean, modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability.
• Experience using SQL data exploration, feature extraction, and integration with analytical workflows.
• Familiarity with cloud platforms and products like Google VertexAI, BigQuery, CloudSQL, Compute Engine or similar solutions
• Demonstrated ability to support, mentor, and guide junior to mid-level data scientists and machine learning engineers
• Familiarity with Agile ways of working, participating in sprint planning, retrospectives etc.
• Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders.

• PhD at a relevant field
• Networking/Telecommunications knowledge
• Experience with data visualisation tools and frameworks such as Dash, Streamlit, Superset etc, to aid in the presentation of model results and findings.

#CIECTN26

• Employees at all levels are expected to:
• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.
• Disclaimer:
• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

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That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Please visit the benefits summary on our careers site for more details.

Certifications (if applicable)