This requirement for Bidding :
Responsibilities of an AI Engineer
1. Developing AI Models – Building, training, and optimizing machine learning and deep learning models.
2. Data Analysis – Collecting, cleaning, and preparing data used for AI model training.
3. Implementing AI Algorithms – Understanding various AI algorithms and selecting the most suitable one for the project.
4. Integrating AI into Systems – Developing APIs or systems that enable AI models to be used in real-world applications.
5. Testing and Monitoring AI Performance – Evaluating AI models to ensure accuracy and reliability in production environments.
6. Optimizing AI Models – Improving model performance using techniques such as hyperparameter tuning and fine-tuning.
Required Skills
• Programming – Proficiency in Python, R, or Java, especially frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Machine Learning & Deep Learning – Understanding concepts like supervised learning, unsupervised learning, NLP, and computer vision.
• Mathematics & Statistics – Knowledge of linear algebra, probability, and statistics for data analysis and AI model development.
• Big Data & Cloud Computing – Experience in handling large-scale data using technologies like Hadoop, Spark, AWS, or Google Cloud.
• Software Engineering – Understanding DevOps, MLOps, and how to deploy AI models into production systems.