AI / ML Engineer

Job Description

Model Development: Assist in designing, developing, and implementing machine learning models and algorithms. Data Preprocessing: Work on collecting, cleaning, and preprocessing data to ensure high-quality inputs for model training. Feature Engineering: Identify and create new features to improve model accuracy and performance. Model Training & Evaluation: Train ML models, fine-tune hyperparameters, and evaluate their performance using various metrics. Research & Innovation: Stay up to date with the latest trends in machine learning and deep learning techniques to enhance existing models. Collaborate with Cross-Functional Teams: Work closely with software developers, data engineers, and product teams to integrate ML models into production environments. Deploy Models: Assist in deploying models to production and monitoring their performance over time. Documentation: Write and maintain documentation for code, experiments, and model architecture.