AI Engineer Intern

AI Engineer – Roles & Responsibilities

• Design & Develop AI Models

Build, train, and optimize machine learning (ML) and deep learning models

Work with algorithms such as regression, classification, clustering, NLP, and computer vision

Select appropriate model architectures based on business use cases

• Data Handling & Preprocessing

Collect, clean, and preprocess structured and unstructured data

Perform feature engineering and data transformation

Ensure data quality, consistency, and scalability

• Model Training & Evaluation

Train models using frameworks like TensorFlow, PyTorch, or Scikit-learn

Evaluate model performance using metrics (accuracy, precision, recall, F1-score)

Perform hyperparameter tuning and model optimization

• Deployment & Integration

Deploy AI models into production environments (APIs, microservices, cloud)

Integrate AI solutions into web or mobile applications

Work with cloud platforms like AWS, Google Cloud, or Microsoft Azure

• Automation & AI Pipelines

Build end-to-end ML pipelines (data ingestion → training → deployment)

Automate workflows using CI/CD for ML (MLOps practices)

Monitor model performance and retrain when needed

• AI Research & Innovation

Stay updated with latest AI trends, research papers, and tools

Experiment with new models (LLMs, generative AI, reinforcement learning)

Apply cutting-edge techniques to solve real-world problems

• Performance Optimization

Optimize models for speed, scalability, and cost…

Skills

• Machine Learning
• NLP
• Computer Vision
• TensorFlow
• PyTorch