Machine Learning Engineer

Core Duties

Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications

Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements

Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring

Build and optimise ML pipelines using AWS services and experiment tracking tools

Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring

Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails

Design feature engineering approaches and contribute to feature store development

Support production models through monitoring, performance analysis, and continuous improvement

Apply responsible AI practices, including model explainability and fairness assessment

Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value

Mentor junior colleagues and share learnings across the team