Job Overview
We are hiring a Junior AI/ML Engineer to devolop AI systems across the full ML lifecycle. You’ll contribute to data collection, feature engineering, model training, and deployment—working closely with cross-functional teams to deliver scalable, ethical, and production-ready AI solutions. Your efforts will help drive innovation, embed intelligent automation, and support informed decision-making across the organisation.
Key Responsibilities
- Build end-to-end ML workflows by collecting and preprocessing large datasets, engineering relevant features, and implementing foundational ML models..
- Model development & optimisation: select algorithms, tune hyper-parameters, and optimise performance using frameworks like TensorFlow or PyTorch.
- Deployment & maintenance: assist in packaging models for production (e.g. Docker, server-less), integrate with software, and support monitoring and retraining.
- Collaboration: work with data scientists, engineers, and product teams to implement AI-driven solutions.
- Research & innovation: stay updated on AI/ML trends and suggest improvements.
- Ethics & compliance: follow privacy, fairness, and bias-mitigation principles across the ML lifecycle.
- Documentation: maintain clear notes on design decisions, training processes, and evaluation metrics.