GenAI Engineer

Develop AI/GenAI models including LLMs, GANs, VAEs, and other neural networks

Build and deploy machine learning pipelines using frameworks like TensorFlow, PyTorch, Keras, and Hugging Face

Perform data preprocessing, cleaning, augmentation, and database management (SQL, Pandas, NumPy)

Implement model training, hyperparameter tuning, cross-validation, and optimization strategies

Apply prompt engineering and retrieval-augmented generation (RAG) for GenAI solutions

Deploy AI models on cloud platforms (AWS SageMaker, Azure ML, GCP) using MLOps best practices

Develop software architecture for AI/GenAI applications following clean code and Agile methodologies

Monitor models in production, ensure reliability, and troubleshoot performance issues

Collaborate with cross-functional teams to integrate AI solutions into products and services

Stay updated with emerging AI research, GenAI trends, and best practices