AI Engineer

Collect, clean, and preprocess large datasets.

Perform Exploratory Data Analysis (EDA).

Develop machine learning models for prediction, classification, recommendation, etc.

Select appropriate algorithms and features.

Train, validate, and evaluate ML models.

Tune model hyperparameters and improve performance.

Build deep learning models when required.

Work with NLP, computer vision, recommendation systems, or generative AI depending on the role.

Deploy ML models into production applications.

Develop APIs for ML models.

Monitor model performance and data drift.

Retrain and improve models using new data.

Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.

Document experiments, models, datasets, and results.

Optimize models for speed, accuracy, scalability, and cost.