- 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)
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📍 Noida