Generative AI Engineer

DETAILED JOB DESCRIPTION Design, build, and deploy scalable AI/ML and GenAI solutions on AWS. The role requires strong hands-on expertise in machine learning, deep learning, LLM integration, and production-grade model deployment in cloud environments. Key Responsibilities Design and develop ML/DL models for enterprise use cases Build and deploy GenAI/LLM-based solutions (RAG, prompt engineering, fine-tuning) Develop scalable inference pipelines on AWS Work with large structured and unstructured datasets Implement model monitoring, evaluation, and performance optimization Integrate AI models with backend systems via APIs Collaborate with data engineers and application teams Follow best practices in model versioning, testing, and deployment Required Skills 9–12 years of overall experience with strong ML engineering focus Hands-on experience in ML and DL frameworks (TensorFlow / PyTorch / scikit-learn) Experience working with LLMs and GenAI architectures Strong Python programming skills Experience deploying models on AWS (SageMaker, EC2, Lambda, S3) Experience building REST APIs for model serving Strong understanding of data preprocessing and feature engineering