Machine Learning Engineer

Responsibilities
Model Development & Training Train and fine-tune computer vision models for use cases such as object detection, classification, segmentation, pose estimation, and video analytics Improve model performance through architecture tuning, optimisation strategies, and experimentation Work on data augmentation, loss tuning, learning rate scheduling, and training improvements Evaluate newer vision and multimodal AI approaches where applicable Research & Experimentation Study and apply insights from technical papers and industry research Prototype and benchmark different modelling approaches against baseline systems Analyse experiment outcomes and document findings, limitations, and trade-offs Model Evaluation & Debugging Investigate edge cases, prediction inconsistencies, and real-world model behaviour Troubleshoot issues such as false positives/negatives and unstable inference results Improve model robustness through better datasets, inference logic, and tuning strategies ...