Source description
About the role
- 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 recent tools, models and methods. - Team feedback; adoption of new techniques; knowledge sharing. Skills:- pandas, Scikit-Learn, Jupyter Notebook, Python, Data Visualization and Machine Learning (ML) .