- Design, develop, and implement AI and machine learning models.
- Build and deploy AI-powered applications and intelligent automation solutions.
- Develop, train, test, and optimize machine learning and deep learning models.
- Work with Large Language Models (LLMs), Generative AI, and Natural Language Processing (NLP).
- Prepare, clean, process, and analyze datasets for model training.
- Develop AI solutions using Python and relevant AI/ML libraries.
- Integrate AI models with applications using APIs and backend services.
- Evaluate model performance and improve accuracy, efficiency, and scalability.
- Collaborate with software developers, data scientists, and product teams.
- Research emerging AI technologies, tools, and industry best practices.




- Monitor deployed models and troubleshoot performance issues.
- Follow best practices for data privacy, security, and responsible AI development.

Requirements

- Python Programming
- Machine Learning and Deep Learning

- Artificial Intelligence Fundamentals
- TensorFlow, PyTorch, or Scikit-learn
- NumPy, Pandas, and Matplotlib

- Natural Language Processing (NLP)
- Generative AI and Large Language Models (LLMs)

- Prompt Engineering
- REST APIs and Model Integration

- SQL and Database Fundamentals

- Git and Version Control

- Model Evaluation and Optimization
- Problem-Solving and Analytical Skills

📌 AI Engineer (Noida)
🏢 Training Basket
📍 Noida