AI Engineering Intern

Company Description

Intgr8AI offers businesses seamless, ready-to-integrate solutions to unlock the power of artificial intelligence. The platform simplifies AI automation, streamlines workflows, and removes repetitive tasks without complex setup. Designed for modern teams, Intgr8AI helps companies save time, reduce costs, and stay competitive.

Role Description

This is a remote internship for an AI Engineering Intern. You'll work directly with the founder to build, deploy, and optimize AI/ML models for production use. You'll fine-tune language models, integrate AI capabilities into applications, and help solve real-world business problems with machine learning. Day-to-day work includes model training, prompt engineering, performance optimization, and deploying AI solutions.

What You'll Do

• Build, train, and deploy machine learning models for production use
• Fine-tune large language models (LLMs) for specific use cases
• Develop and optimize prompts for AI applications
• Integrate AI APIs and services (OpenAI, Anthropic, etc.) into products
• Preprocess and clean datasets for model training
• Evaluate model performance and iterate on improvements
• Implement MLOps practices for model deployment and monitoring
• Work on AI-powered features that directly impact customers

What You'll Learn

• Production ML engineering and model deployment
• LLM fine-tuning, prompt engineering, and optimization techniques
• AI/ML integration patterns and best practices
• Model evaluation, testing, and monitoring in production
• Data preprocessing, feature engineering, and dataset management
• MLOps tools and workflows (model versioning, CI/CD for ML)
• Cost optimization and performance tuning for AI applications
• Real-world problem-solving with AI/ML

Minimum Qualifications

• Foundation in Machine Learning, AI, or Data Science principles
• Experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
• Understanding of neural networks, LLMs, or deep learning concepts
• Familiarity with data preprocessing and model training workflows
• Strong problem-solving skills and attention to detail
• Comfortable working independently and communicating clearly in a remote setup

Nice to Have

• Experience fine-tuning LLMs or working with transformer models
• Knowledge of prompt engineering and AI API integration
• Experience with ML deployment platforms (AWS SageMaker, Google Cloud AI, Hugging Face, etc.)
• Understanding of vector databases and embeddings
• Experience with MLOps tools (MLflow, Weights & Biases, etc.)
• Previous AI/ML projects or Kaggle competitions
• Familiarity with REST APIs and cloud platforms