Artificial Intelligence Engineer - Machine Learning Models

Key Responsibilities:

- Design, develop, and optimize machine learning models for classification, regression, and recommendation systems.

- Build end-to-end machine learning pipelines from data preprocessing to model deployment.

- Develop and fine-tune deep learning architectures using TensorFlow and PyTorch.

- Apply MLOps best practices for model versioning, monitoring, and retraining.

- Work with large-scale datasets performing feature engineering and data augmentation.

- Optimize model performance for scalability, latency, and production readiness.

- Deploy AI models using containerization and cloud platforms such as Azure.

- Research and implement cutting-edge AI techniques to improve existing systems and integrate them into production.

- Collaborate with data scientists and engineers to integrate AI capabilities into real-world applications