AI Engineer

Responsibilities

• Build information retrieval systems and perform relevance engineering
• Develop algorithms and predictive models from the ground up using machine learning and deep learning frameworks
• Build AI models from scratch and collaborate with product managers on analysis and implementation
• Transform machine learning models into APIs for integration with other applications
• Deploy and manage machine learning models in production environments

Requirements

• At least 5 years of experience putting Machine Learning models into production
• Proficiency in Python and SQL
• Advanced knowledge of Machine Learning models and Large Language Models (LLM)
• Experience using LangChain or similar tools for LLM implementation
• Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases, and building Knowledge Graphs
• Experience with cloud platforms such as Azure, AWS, or Google Cloud
• Proficiency with big data technologies including Apache Spark, Hadoop, and MongoDB
• Strong mathematical foundation in probability, statistics, and linear algebra

About the Company

Merkle is part of the dentsu network, a global leader focused on driving innovation and integrated growth solutions. We empower our clients through cutting-edge technology and a commitment to creating a meaningful impact in a transforming digital landscape.