About the role
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