Senior Machine Learning & AI Engineer

Overview

Design and deliver end-to-end AI and ML solutions, combining advanced modelling techniques with robust engineering practices, and productionise AI and ML pipelines that are scalable, efficient and secure.

What you'll do

• Lead the design and implementation of advanced AI/ML and systems, including agentic systems.
• Lead on designing patterns, tooling and templates to rapidly and efficiently deploy models into production.
• Scale AI/ML solutions on strategic infrastructure and integrate them into existing systems.
• Develop and maintain scalable AI/ML pipelines and infrastructure.
• Collaborate with data scientists to understand model requirements and translate them into technical solutions.
• Optimize models for performance, accuracy and other required metrics (e.g. latency, token usage).
• Deploy and monitor AI/ML systems in production environments.
• Troubleshoot and resolve issues related to AI/ML systems.
• Mentor junior AI/ML engineers and provide technical guidance.
• Stay updated with the latest AI/ML technologies and best practices.

What you'll need

• Experience with Python, including multi-threading and asynchronous programming using tools like threading and asyncio.
• Ability to optimize performance using profiling tools and apply advanced debugging techniques.
• Software engineering: use of design patterns, experience and best practices to design, test and amend complex programs/scripts and integration software services.
• Machine learning: experience of using advanced methods such as forecasting, ensemble methods and model stacking.
• Ability to situationally assess and advise on the most appropriate Machine Learning solution for existing and new scenarios, and to troubleshoot and fix model performance issues with fitted models.
• Foundation model application: ability to independently make decisions about Foundation Model Applications, considering the strengths and limitations of different models.
• Google Cloud Platform: ability to use existing guides and templates to build standard products following best practice.
• AI and ML solution design: knowledge of the strengths and limitations of AI/ML and evidence of independently making AI/ML solution design decisions to solve problems.
• Other technical skills: AI literacy, feature engineering, foundation model application, DevOps, SQL, Responsible AI.

Details

• Location: Hyderabad Knowledge Park Tower 2, Hyderabad.
• Hybrid working. Flexible working options are supported.
• Application end date: Friday 30 October 2026.