An AIML Engineer designs develops and deploys intelligent systems and models that learn from data to automate tasks improve decisionmaking and create innovative solutions This role bridges the gap between data science research and productionlevel software engineering
Model Development Training Design develop and train machine learning and deep learning models using Python and frameworks like TensorFlow Keras or PyTorch
Data Engineering Preprocessing Clean transform and structure raw data to create highquality datasets for training
Deployment Productionization Integrate AI models into existing software applications and create APIs for realtime or batch inference