Required Skills

Programming:Strong proficiency in Python for AI/ML development

Core AI/ML:Deep understanding of machine learning/deep learning algorithms, model training, and evaluation

Generative AI:Hands-on experience with Large Language Models (LLMs) and generative AI techniques

Advanced AI:Experience building AI agents, implementing RAG systems, and working with transformer models

Cloud Infrastructure:Practical experience deploying and managing AI workloads on Google Cloud Platform (GCP)

Responsibilities

Design and implement AI/ML models and generative AI applications to solve complex business challenges

Build and optimize AI agents, LLM-based systems, and RAG (Retrieval-Augmented Generation) pipelines

Develop scalable machine learning solutions leveraging transformer architectures and modern AI frameworks

Deploy and maintain AI services on Google Cloud Platform (GCP), ensuring performance, reliability, and scalability

Collaborate with cross-functional teams to integrate AI capabilities into production systems

Stay current with emerging AI technologies and best practices, continuously improving our AI infrastructure

Artificial Intelligence Engineer