The Artificial Intelligence (AI) Engineer designs, develops, and deploys machine learning and deep learning models for enterprise applications.
Requirements
- 4+ years of experience in AI/ML model development using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience in training, validating, and deploying machine learning and deep learning models.
- Experience working with cloud AI platforms like Azure ML, AWS SageMaker, or GCP Vertex AI.
- Experience in data preprocessing, feature engineering, and model optimization.
- Familiarity with MLOps practices and tools for model lifecycle management.
- Experience with data integration and engineering for AI applications.
- Strong programming skills in Python and experience with ML libraries.
Responsibilities
- Design, develop, and deploy AI models for enterprise applications.
- Collaborate with data scientists and engineers to build scalable AI solutions.
- Perform data analysis and feature engineering for model development.
- Monitor and evaluate model performance and retrain as needed.
- Document model architecture, training process, and evaluation metrics.
- Stay updated with the latest AI research and technologies.
- Ensure compliance with responsible AI standards and practices.
Other
- Experience collaborating with cross-functional teams to deliver AI-powered solutions.
- Self-motivated and able to work independently on multiple AI projects.
- Excellent communication and documentation skills.
- Strong problem-solving and debugging skills for AI models.
- Understanding of responsible AI practices and data privacy.
