Be part of our Global Engineering Network!
Responsible for designing, building, and deploying next-generation AI/ML and Generative AI solutions that drive business transformation at scale.
Own the end-to-end AI lifecycle: data ingestion, model development, deployment, and monitoring.
Build and optimise scalable ML pipelines and services.
Develop AI-driven automation solutions, including intelligent agents.
Implement MLOps best practices (CI/CD, model versioning, monitoring, retraining).
Collaborate with cross-functional teams (engineering, product, data) to deliver AI solutions.
Translate business needs into technical AI use cases and architectures.
Stay up to date with emerging AI trends and contribute to innovation initiatives.

Advanced degree in AI, Computer Science, or related field
5+ years of experience in AI/ML engineering, data science, or software engineering
Strong programming skills in Python
Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn)
Hands-on experience with Generative AI / LLMs / NLP systems
Experience building data pipelines (ETL, Spark, Airflow, etc.)
Solid understanding of: Machine Learning and Deep Learning, NLP, information retrieval, or recommendation systems
Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with containerisation and orchestration (Docker, Kubernetes)
Experience working in production environments (MLOps, deployment, scaling)
Experience with: Retrieval-Augmented Generation (RAG), AI agents / multi-agent systems, Large-scale distributed systems
Knowledge of AI governance, security, and responsible AI practices
Contributions to open-source, research, or patents.

Senior AI Engineer

Key skills