AI / ML Engineer Data & Analytics

Data Preparation & Pipelines Collect, clean, structure and segregate data from multiple sources so it is ready for analysis and modelling; build repeatable data pipelines. Data accuracy & completeness; pipeline reliability; turnaround time. Model Development & Predictive Analytics Build, train, test and improve machine-learning models and prediction use cases. Model accuracy; validation rigour; improvement over baseline. Deployment, Integration & Documentation Serve models via APIs, support basic deployment, maintain version control and clear technical documentation. Build or integrate with backend services (Python-based or MEAN/MERN stack) to expose ML functionality to production applications. Solutions in actual use; clean repos; quality of documentation; smooth backend integration. Collaboration & Continuous Learning Work with the wider team and keep up with new tools, models and methods. Team feedback; adoption of new techniques; knowledge sharing. Data Preparation & Pipelines Collect, clean, structure and segregate data from multiple sources so it is ready for analysis and modelling; build repeatable data pipelines. Data accuracy & completeness; pipeline reliability; turnaround time. Model Development & Predictive Analytics Build, train, test and improve machine-learning models and prediction use cases. Model accuracy; validation rigour; improvement over baseline. Deployment, Integration & Documentation Serve models via APIs, support basic deployment, maintain version control and clear technical documentation. Build or integrate with backend services (Python-based or MEAN/MERN stack) to expose ML functionality to production applications. Solutions in actual use; clean repos; quality of documentation; smooth backend integration. Collaboration & Continuous Learning Work with the wider team and keep up with new tools, models and methods. Team feedback; adoption of new techniques; knowledge sharing.