An AIML Engineer designs develops and deploys intelligent systems and models that learn from data to automate tasks improve decision making and create innovative solutions.
This role bridges the gap between data science research and production level 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 Pre-processing Clean transform and structure raw data to create high-quality datasets for training.
Deployment Product ionization Integrate AI models into existing software applications and create APIs for Realtime or batch inference.