AIML Engineer

Architect and scale Generative AI and Large Language Model (LLM) applications for enterprise clients.

Build advanced Retrieval Augmented Generation (RAG) architectures integrated with vector databases.

Deploy, train, and fine-tune machine learning and deep learning models using TensorFlow and related frameworks.

Implement cloud-native AI/ML pipelines on AWS infrastructure for real-time inference and training workflows.

Collaborate with cross-functional software development teams to integrate AIML endpoints into product ecosystems.

Maintain detailed model evaluation metrics, deployment logs, and technical design specifications.

Bachelor's or Master's Degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical disciplines.

1-3 Yrs of deep technical experience in AI/ML engineering, cloud platforms, and generative model deployment.

Hands-on expertise with AWS, TensorFlow, Generative AI, LLMs, and RAG frameworks.

Excellent technical leadership, analytical problem-solving skills, and architectural design capabilities.