AI Engineer

You will work closely with data, product, and engineering teams to develop scalable AI systems and integrate models into production environments.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models for production use
• Build and maintain scalable data pipelines and model-serving infrastructure
• Train, evaluate, and optimise models for performance, accuracy, and efficiency
• Work with large datasets to extract insights and improve model outcomes
• Collaborate with product and engineering teams to translate business needs into AI solutions
• Monitor, test, and iterate on models in live environments
• Ensure best practices around model performance, reliability, and security

Required Skills & Experience

• Strong experience in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn)
• Solid understanding of machine learning fundamentals and algorithms
• Experience deploying models to production environments (cloud or on-prem)
• Familiarity with data processing tools and pipelines
• Understanding of model evaluation, optimisation, and monitoring techniques

Nice to Have

• Experience with large language models (LLMs) or generative AI
• Knowledge of MLOps tools and workflows
• Experience working with cloud platforms (AWS, GCP, Azure)
• Background in applied research or experimentation