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